Artificial Intelligence
HTG Molecular Diagnostics Reports First Quarter 2023 Results and Provides Recent Business Highlights
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TUCSON, Ariz., May 10, 2023 (GLOBE NEWSWIRE) — HTG Molecular Diagnostics, Inc. (Nasdaq: HTGM) (HTG), a platform-based life science tools and drug discovery company, today reported financial results for the quarter ended March 31, 2023 and provided recent drug discovery business highlights.
HTG has pioneered a proprietary platform-based approach that is designed to help improve drug discovery, referred to as transcriptome-informed drug discovery and design. At the center of this approach is the application of HTG’s proprietary RNA profiling technologies, functionally married with advanced medicinal chemistry using a novel artificial intelligence (“AI”)-driven platform. This unique drug candidate optimization platform is expected to allow for more biologically-relevant insight into drug candidate selection and design much earlier in the discovery process than in traditional drug discovery. HTG believes this approach will result in higher efficiency, improved risk management and cost efficiencies to bring novel drug candidate molecules from very early discovery through entry to development.
HTG achieved three significant drug discovery business milestones in the first quarter of 2023 to advance the compounds for its first target and indication through lead optimization and to further strengthen its AI-driven drug discovery engine.
First, HTG achieved in vitro demonstration of efficacy of its first lead compounds both as a standalone therapy and in combination with the current standard of care.
The Company utilized its proprietary HTG EdgeSeq RNA profiling platform to biologically interrogate the lead molecules. This data, along with other primary and secondary data, was then introduced into the Company’s AI-driven drug discovery engine, resulting in the creation of a second generation of molecules. The second generation of molecules has been subjected to the same in vitro experiments as the first, demonstrating improved efficacy over the first generation of molecules. These results also demonstrate the utility of the AI-driven drug discovery engine in combination with high-quality full transcriptome data.
Finally, the Company’s AI-driven drug discovery engine was used to design compounds using transcriptomic data as the starting point. These system-designed compounds showed highly similar characteristics to HTG’s lead compounds that were designed starting with the target. These results demonstrate the ability of HTG’s engine to design novel compounds based on transcriptomic data alone, which the Company believes will provide other opportunities for expanded platform applications, including drug repurposing.
In addition to further advancing the Company’s drug discovery platform, these first quarter efforts have significantly advanced HTG’s first oncology indication in liquid tumors through lead optimization studies and the Company expects that these efforts will support entry into preclinical development in the next several months. In addition, the Company’s second target for the treatment of solid tumors has been selected and added to HTG’s oncology portfolio, which also includes an early pipeline in neurodegenerative diseases.
“Through the diligent efforts of our strong and knowledgeable team, we have once again achieved extensive progress toward our strategy to establish our transcriptome-informed drug discovery process as the preferred methodology for small molecule drug discovery, complementing and expanding the advanced capabilities that our HTG EdgeSeq technology has provided for many years in profiling. The three major milestones reached by our team during the first quarter of 2023 have not only advanced and strengthened our AI-driven drug discovery engine, but have significantly advanced candidate molecules through lead optimization for our first indication in liquid tumors, with a program in solid tumors expected to follow closely behind,” said John Lubniewski, Chief Executive Officer and Director at HTG.
Partnering discussions have been initiated with global biopharmaceutical companies around the Company’s portfolio of drug candidate molecules in oncology and neurodegenerative disease indications. In addition, HTG has initiated partnering conversations regarding the use of HTG’s drug discovery engine within the partners’ portfolios of drug assets.
“While our partnering discussions are in early stages, we are pleased with the level of preliminary interest we have seen in our drug discovery platform from pharmaceutical companies that historically in-license candidates for preclinical development as part of their business model as well as those interested in using our AI-driven drug discovery engine with their own target portfolios,” Mr. Lubniewski continued. “We believe this interest is driven by our highly differentiated approach to drug discovery, which uses our proprietary transcriptomic profiling technologies, integrated with a machine learning-based chemical library design platform, to better-inform the design and selection of drug candidate molecules. We believe that this approach will yield drug candidates with lower risk profiles and increased opportunities for development success, providing faster and more cost-efficient outcomes than traditional approaches, and believe that these potential partners are beginning to quickly understand these advantages.”
First Quarter 2023 Financial Results:
Product and product-related services revenue for the quarter ended March 31, 2023 was $1.0 million, compared to $1.2 million for the same period in 2022. This revenue continues to primarily reflect sales of the Company’s two whole transcriptome products, the HTG Transcriptome and HTG EdgeSeq miRNA panels, to new and existing customers as consumables and sample processing services. Sales of these products represented 66% of revenue for the quarter ended March 31, 2023.
Net loss from operations for the quarter ended March 31, 2023 was $5.0 million, compared to $6.3 million for the same period in 2022. Net loss per share was $(2.28) for the quarter ended March 31, 2023 compared with $(9.73) for the first quarter of 2022, reflecting approximately 1.3 million additional common shares issued in December 2022. This operating margin improvement also reflects cost reduction measures implemented in the second quarter of 2022 which aligned the Company’s profiling cost structure with expected future revenue to reduce operating cash burn.
Cash, cash equivalents and investments in available-for-sale securities totaled $6.6 million as of March 31, 2023, with current liabilities of approximately $6.6 million and non-current liabilities of $3.8 million.
About HTG:
HTG is accelerating precision medicine from diagnosis to treatment by harnessing the power of transcriptome-wide profiling to drive translational research, novel therapeutics and clinical diagnostics across a variety of disease areas.
Building on more than a decade of pioneering innovation and partnerships with biopharma leaders and major academic institutes, HTG’s proprietary RNA platform technologies are designed to make the development of life science tools and diagnostics more effective and efficient and to unlock a differentiated and disruptive approach to transformative drug discovery. For more information visit www.htgmolecular.com.
Forward-Looking Statements:
Statements contained in this press release regarding matters that are not historical facts are “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the expected benefits of our drug discovery platform, including the ability of the platform to better-inform the design and selection of drug candidate molecules with lower risk profiles and increased opportunities for development success, all while being faster and more cost-efficient than traditional approaches; our expectation of progressing through lead optimization studies and entering into preclinical development for HTG’s most advanced discovery molecules in the next several months; our plan to identify partners to carry forward the development of the company’s early portfolio of candidate molecules in oncology and neurodegenerative disease indications, as well as with pharmaceutical companies interested in using HTG’s drug discovery engine with their own targets and libraries; and the capabilities of our technology. Words such as “designed to,” “believe,” “anticipate,” “expect,” “potential,” “will” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements necessarily contain these identifying words. These forward-looking statements are based upon management’s current expectations, are subject to known and unknown risks, and involve assumptions that may never materialize or may prove to be incorrect. Actual results and the timing of events could differ materially from those anticipated in such forward-looking statements as a result of various risks and uncertainties, including risks associated with our ability to enter into licensing, partnering or other transactions for programs or candidates arising from our drug discovery platform, which transactions may not occur when anticipated, or at all; the risk that our drug discovery approach may not result in the selection or development of a drug candidate; various risks associated with drug discovery and development; the risk that our technologies may not provide the benefits that we expect; risks associated with our ability to develop and commercialize our products; the risk that our products and services may not be adopted by biopharmaceutical companies or other customers as anticipated, or at all; and risks related to our need for additional capital. These and other factors are described in greater detail in our filings with the Securities and Exchange Commission (SEC), including under the “Risk Factors” heading in our Annual Report on Form 10-K for the year ended December 31, 2022, as filed with the SEC on March 30, 2023. All forward-looking statements contained in this press release speak only as of the date on which they were made, and we undertake no obligation to update such statements to reflect events that occur or circumstances that exist after the date on which they were made.
HTG Investor Contact:
Ashley Robinson
LifeSci Advisors
Phone: (617) 430-7577
Email: [email protected]
-Financial tables follow-
| HTG Molecular Diagnostics, Inc. | ||||||||
| Condensed Consolidated Statements of Operations | ||||||||
| (Unaudited) | ||||||||
| Three Months Ended March 31, | ||||||||
| 2023 | 2022 | |||||||
| Product and product-related services revenue | $ | 1,032,510 | $ | 1,184,454 | ||||
| Operating expenses: | ||||||||
| Cost of product and product-related services revenue | 1,149,608 | 855,048 | ||||||
| Selling, general and administrative | 3,282,948 | 4,663,011 | ||||||
| Research and development | 1,612,553 | 1,920,430 | ||||||
| Total operating expenses | 6,045,109 | 7,438,489 | ||||||
| Operating loss | (5,012,599 | ) | (6,254,035 | ) | ||||
| Other income (expense) | (39,955 | ) | (243,098 | ) | ||||
| Net loss before income taxes | (5,052,554 | ) | (6,497,133 | ) | ||||
| Provision for income taxes | (2,218 | ) | (386 | ) | ||||
| Net loss | $ | (5,054,772 | ) | $ | (6,497,519 | ) | ||
| Net loss per share, basic and diluted | $ | (2.28 | ) | $ | (9.73 | ) | ||
| Shares used in computing net loss per share, basic and diluted | 2,214,082 | 667,647 | ||||||
| HTG Molecular Diagnostics, Inc. | ||||||||
| Condensed Consolidated Balance Sheets | ||||||||
| March 31, | December 31, | |||||||
| 2023 | 2022 | |||||||
| Assets | (Unaudited) | |||||||
| Current assets: | ||||||||
| Cash and cash equivalents | $ | 2,996,409 | $ | 12,210,857 | ||||
| Investments available-for-sale, at fair value | 3,566,628 | — | ||||||
| Accounts receivable | 1,131,980 | 1,421,695 | ||||||
| Inventory, net | 654,917 | 909,328 | ||||||
| Prepaid expenses and other | 837,170 | 1,109,571 | ||||||
| Total current assets | 9,187,104 | 15,651,451 | ||||||
| Operating lease right-of-use assets | 892,685 | 1,007,202 | ||||||
| Property and equipment, net | 528,527 | 598,006 | ||||||
| Other non-current assets | 257,312 | 520,996 | ||||||
| Total assets | $ | 10,865,628 | $ | 17,777,655 | ||||
| Liabilities and stockholders’ equity | ||||||||
| Current liabilities: | ||||||||
| Accounts payable | $ | 1,097,538 | $ | 1,157,449 | ||||
| Accrued liabilities | 1,321,771 | 2,209,606 | ||||||
| SVB Term Loan, net of discount and debt issuance costs | 3,075,506 | 3,812,498 | ||||||
| NuvoGen obligation – current | 446,031 | 446,031 | ||||||
| Operating lease liabilities – current | 481,967 | 475,126 | ||||||
| Other current liabilities | 136,074 | 170,047 | ||||||
| Total current liabilities | 6,558,887 | 8,270,757 | ||||||
| NuvoGen obligation – non-current, net of discount | 3,370,279 | 3,519,058 | ||||||
| Operating lease liabilities – non-current, net of discount | 423,237 | 546,324 | ||||||
| Other non-current liabilities | 38,723 | 49,819 | ||||||
| Total liabilities | 10,391,126 | 12,385,958 | ||||||
| Commitments and Contingencies | ||||||||
| Total stockholders’ equity | 474,502 | 5,391,697 | ||||||
| Total liabilities and stockholders’ equity | $ | 10,865,628 | $ | 17,777,655 | ||||
Artificial Intelligence
IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry
Up to $187M CAD to be invested to progress expansion of chip packaging capacity and capabilities and to strengthen R&D at IBM Canada’s Bromont plant
BROMONT, QC, April 26, 2024 /PRNewswire/ — IBM (NYSE: IBM), the Government of Canada, and the Government of Quebec today announced agreements that will strengthen Canada’s semiconductor industry, and further develop the assembly, testing and packaging (ATP) capabilities for semiconductor modules to be used across a wide range of applications including telecommunications, high performance computing, automotive, aerospace & defence, computer networks, and generative AI, at IBM Canada’s plant in Bromont, Quebec. The agreements reflect a combined investment valued at approximately $187M CAD.
“Today’s announcement is a massive win for Canada and our dynamic tech sector. It will create high-paying jobs, invest in innovation, strengthen supply chains, and help make sure the most advanced technologies are Canadian-made. Semiconductors power the world, and we’re putting Canada at the forefront of that opportunity,” said the Right Honourable Justin Trudeau, Prime Minister of Canada
In addition to the advancement of packaging capabilities, IBM will be conducting R&D to develop methods for scalable manufacturing and other advanced assembly processes to support the packaging of different chip technologies, to further Canada’s role in the North American semiconductor supply chain and expand and anchor Canada’s capabilities in advanced packaging.
The agreements also allow for collaborations with small and medium-sized Canadian-based enterprises with the intent of fostering the development of a semiconductor ecosystem, now and into the future.
“IBM has long been a leader in semiconductor research and development, pioneering breakthroughs to meet tomorrow’s challenges. With the demand for compute surging in the age of AI, advanced packaging and chiplet technology is becoming critical for the acceleration of AI workloads,” said Darío Gil, IBM Senior Vice President and Director of Research. “As one of the largest chip assembly and testing facilities in North America, IBM’s Bromont facility will play a central role in this future. We are proud to be working with the governments of Canada and Quebec toward those goals and to build a stronger and more balanced semiconductor ecosystem in North America and beyond.”
IBM Canada’s Bromont plant is one of North America’s largest chip assembly and testing facilities, having operated in the region for 52 years. Today, the facility transforms advanced semiconductor components into state-of-the-art microelectronic solutions, playing a key role in IBM’s semiconductor R&D leadership alongside IBM’s facilities at the Albany NanoTech Complex and throughout New York’s Hudson Valley. These agreements will help to further establish a corridor of semiconductor innovation from New York to Bromont.
“Advanced packaging is a crucial component of the semiconductor industry, and IBM Canada’s Bromont plant has led the world in this process for decades,” said Deb Pimentel, president of IBM Canada. “Building upon IBM’s 107-year legacy of technology innovation and R&D in Canada, the Canadian semiconductor industry will now become even stronger, allowing for robust supply chains and giving Canadians steady access to even more innovative technologies and products. This announcement represents just one more example of IBM’s leadership and commitment to the country’s technology and business landscape.”
Chip packaging, the process of connecting integrated circuits on a chip or circuit board, has become more complex as electronic devices have shrunk and the components of chips themselves get smaller and smaller. IBM announced the world’s first 2 nanometer chip technology in 2021 and, as the semiconductor industry moves towards new methods of chip construction, advances in packaging will grow in importance.
“Semiconductors are part of our everyday life. They are in our phones, our cars, and our appliances. Through this investment, we are supporting Canadian innovators, creating good jobs, and solidifying Canada’s semiconductor industry to build a stronger economy. Canada is set to play a larger role in the global semiconductor industry thanks to projects like the one we are announcing today. Because, when we invest in semiconductor and quantum technologies, we invest in economic security.” — The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry
“This investment by IBM in Bromont will ensure that Quebec continues to stand out in the field of microelectronics. An increase in production capacity will solidify Quebec’s position in the strategic microelectronics sector in North America.” — The Honourable Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister responsible for Regional Economic Development and Minister responsible for the Metropolis and the Montreal region
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in semiconductors, AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
Media ContactLorraine BaldwinIBM [email protected]
Willa HahnIBM [email protected]
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Artificial Intelligence
HITACHI ACQUIRES MA MICRO AUTOMATION OF GERMANY IN EFFORT TO ACCELERATE GLOBAL EXPANSION OF ROBOTIC SI BUSINESS IN THE MEDICAL AND OTHER FIELDS
HOLLAND, Mich., April 26, 2024 /PRNewswire/ — Hitachi Ltd. (TSE: 6501, “Hitachi”) has signed a stock purchase agreement on April 26 to acquire all shares of MA micro automation GmbH (“MA micro automation”, headquartered in St. Leon-Rot, Germany) from MAX Management GmbH (a subsidiary of MAX Automation SE). MA micro automation is a leading provider of robotic and automation technology (robotic SI) including high-speed linear handling systems, high-precision assembly lines, and high-speed vision inspection technology for Europe, North America, and Southeast Asia, for EUR 71.5M million. The transaction is expected to close in the second half of 2024, pending completion of the customary regulatory filings. After the acquisition is completed, MA micro automation will join JR Automation Technologies, LLC (“JR Automation”), a market leader in providing advanced automation solutions and digital technologies in the robotic system integration business for North America, Europe, and Southeast Asia as a continued effort to expand the company’s global presence.
MA micro automation is a technology leader for automation solutions within micro-assembly. Through its state-of-the-art proprietary high-speed and high-precision automation know-how, combined with unique optical image inspection capabilities, MA micro automation serves high-growth med-tech automation end-markets, covering the production, assembly, and testing medical and optical components including contact lenses, IVD and diabetes diagnostics consumables, and injection molding for medical use. The company was established in 2003 through a carve-out from Siemens*1 and since 2013 has been part of the MAX Automation group.
JR Automation is a leading provider of intelligent automated manufacturing technology solutions, serving customers across the globe in a variety of industries including automotive, life sciences, e-mobility, consumer and industrial products. With over 20 locations between North America, Europe, and Southeast Asia, the leading integrator offers nearly 2 million square feet (185,806 sq. m) of available build and engineering floorspace. This acquisition allows JR Automation to further grow and strengthen both the company’s geographical footprint and their continued commitment on expanding support capabilities within the European region and medical market vertical.
“MA micro automation provides engineering, build and support expertise with established capabilities in complex vision applications, high-speed and high-precision automation technologies. When integrated with JR Automation’s uniform global process and digital technologies, this partnership will further enhance our ability to deliver added value and support to all of our customers worldwide and continue to grow our capabilities in the medical market,” says Dave DeGraaf, CEO of JR Automation. “As we integrate this new dimension, impressive talents and abilities of the MA micro automation team we further enhance our ability to serve our customers, creating a more robust and globally balanced offering.”
With this acquisition, Hitachi aims to further enhance its ability to provide a “Total Seamless Solution*2” to connect manufacturer’s factory floors seamlessly and digitally with their front office data, allowing them to achieve total optimization and bringing Industry 4.0 to life. This “Total Seamless Solution” strategy links organizations’ operational activities such as engineering, supply chain, and purchasing to the plant floor and allows for real time, data-driven decision-making that improves the overall business value for customers.
Kazunobu Morita, Vice President and Executive Officer, CEO of Industrial Digital Business Unit, Hitachi, Ltd. says, “We are very pleased to welcome MA micro automation to the Hitachi Group. The team is based in Europe, providing robotic SI to global medical device manufacturing customers with its high technological capabilities and will join forces with JR Automation and Hitachi Automation to strengthen our global competitiveness. Hitachi aims to enhance its ability to provide value to customers and grow alongside them by leveraging its strengths in both OT, IT, including robotic SI, and “Total Seamless Solution” through Lumada*3’s customer co-creation framework.”
Joachim Hardt, CEO MA micro automation GmbH says, “Following the successful establishment and growth of MA micro automation within the attractive automation market for medical technology products, we are now opening a new chapter. Our partnership with Hitachi will not only strengthen our global competitive position, but we will also benefit from joint technological synergies and a global market presence. We look forward to a synergistic partnership with Hitachi and JR Automation.”
Outline of MA micro automation
Name
MA micro automation GmbH
Head Office
St. Leon-Rot, Germany
Representative
Joachim Hardt (CEO)
Outline of Business
Automation solutions within micro-assembly
Total no. of Employees:
Approx. 200 (As of April 2024)
Founded
2003
Revenues (2023)
€ 46.5 million
Website
*1
“Siemens” is a registered trademark or trademark of Siemens Trademark GmbH & Co. KG in the U.S. and other countries.
*2
“Total Seamless Solution” is a registered trademark of Hitachi, Ltd. in the U.S. and Japan.
*3
Lumada: A collective term for solutions, services and technologies based on Hitachi’s advanced digital technologies for creating value from customers’ data accelerating digital innovation. https://www.hitachi.com/products/it/lumada/global/en/index.html
About JR AutomationEstablished in 1980, JR Automation is a leading provider of intelligent automated manufacturing technology solutions that solve customers’ key operational and productivity challenges. JR Automation serves customers across the globe in a variety of industries, including automotive, life sciences, aerospace, and more.
In 2019, JR Automation was acquired by Hitachi, Ltd. In a strategic effort towards offering a seamless connection between the physical and cyber space for industrial manufacturers and distributers worldwide. With this partnership, JR Automation provides customers a unique, single-source solution for complete integration of their physical assets and data information, offering greater speed, flexibility, and efficiencies towards achieving their Industry 4.0 visions. JR Automation employs over 2,000 people at 21 manufacturing facilities in North America, Europe, and Asia. For more information, please visit www.jrautomation.com.
About Hitachi, Ltd.Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers’ and society’s challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of “Digital Systems & Services” – supporting our customers’ digital transformation; “Green Energy & Mobility” – contributing to a decarbonized society through energy and railway systems, and “Connective Industries” – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company’s website at https://www.hitachi.com.
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Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).
XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
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