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Predictive Oncology Reports Second Quarter 2022 Financial Results

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EAGAN, Minn., Aug. 11, 2022 (GLOBE NEWSWIRE) — Predictive Oncology Inc. (NASDAQ: POAI) today announced the financial results for its second quarter ended June 30, 2022, which shows a strong balance sheet with a solid cash balance, commensurate equity and no debt. Highlights from the quarter include:

  • Commercialization launch of PeDAL, our innovative AI product, and presence at BIO International that included one-on-one partnering meetings with pharmaceutical and biotech companies
  • The appointment of Julia Kirshner, Ph.D., as Chief Scientific Officer
  • The consolidation and expansion of the research and development arm in Pittsburgh with the move of TumorGenesis to that location
  • An increase of cash and equivalents from $25 million on March 31, 2022, to $28 million at quarter end, which represents a positive change of 12%

Q2 2022 financial results
Predictive Oncology’s recognized net sales revenue of $0.4 million for the quarter was an increase of 6% from the comparative three-month period in 2021. The positive change was mainly due to zPREDICTA recognizing sales of $0.1 million.

The gross profit margin grew from 59% in the second quarter of 2021 to 64% for the comparable quarter of 2022. The increase is directly attributable to zPREDICTA with strong margins.

Net cash used in operating activities was $6.4 million and $5.5 million for the six months ended June 30, 2022, and June 30, 2021, respectively, primarily because of the increase in operating costs associated with zPREDICTA and POAI’s PeDAL commercial strategy.

General and administrative expenses increased from $2.1 million in the quarter ended June 30, 2021, to $2.4 million for the corresponding quarter in 2022. Operations expenses increased from $0.6 million in the quarter ended June 30, 2021 to $0.9 million in the quarter ended June 30, 2022, primarily due to higher staffing at zPREDICTA. This was partially offset by the timing of research and development expenses and lower consulting expenses.

Quarterly sales and marketing expenses of the company increased by $0.1 million for the quarter ended June 30, 2022, to $0.3 million, as compared to the corresponding period in 2021, due to staff-related expenses and the implementation of advertising and marketing initiatives.

Current market conditions, coupled with POAI’s lower quantitative valuation of zPREDICTA, resulted in a $7.2 million (non-cash) goodwill impairment in the quarter. zPREDICTA is anticipating stronger business growth in the second half of the year with current and potential customers of its validated models for multiple myeloma (existing), breast cancer (new) and pancreatic cancer (new), as well as the development of new therapies in immuno-oncology.

Other developments
First is the strategic move POAI made to further strengthen the company’s scientific and product offerings with the appointment of Dr. Julia Kirshner as Chief Scientific Officer. Dr. Kirshner was elevated from her role as Senior Vice President of Predictive Oncology and President of zPREDICTA (the company she founded and POAI acquired in Q4 2021). Dr. Kirshner will focus on the integration of POAI’s product lines and future development of its scientific programs. She will also be working closely with Dr. Pamela Bush, Senior Vice President of Strategic Sales and Business Development, to identify and meet customer needs and provide expanded solutions along the AI and drug development continuum.

Second is POAI’s decision to streamline the company’s research and development operations, which Dr. Kirshner will oversee. POAI will consolidate its TumorGenesis division by moving this business from Massachusetts to the flagship location in Pittsburgh, PA. By doing this, POAI can better focus on growth opportunities with its artificial intelligence technology and lab functions, while reducing overhead and centralizing scientific operations. This also provides the potential to bring in greater revenue levels as the company explores more expanded offerings for clients in the pharmaceutical and biotech industries.

Additionally, POAI attended the BIO International conference in June, specifically presenting PeDAL and Soluble Biotech. POAI launched the PeDAL platform as part of a comprehensive business development and marketing plan aimed to establish key relationships with targeted pharmaceutical and biotech companies. Soluble Biotech also looked to expand its customer base at the conference with parallel initiatives.

Shareholder earnings call
POAI will conduct a 2Q 2022 shareholder earnings call to take place on Friday, August 12, at 12:00 PM ET. The links to register for the webcast will be available at the links below:
To register and view the webcast, please go to this link: https://edge.media-server.com/mmc/p/it32fi7n.
For Q&A’s, please register here: https://register.vevent.com/register/BI2e83830dc64a4a8c8a33753ecde1ac52

About Predictive Oncology Inc.
Predictive Oncology (NASDAQ: POAI) is a knowledge-driven company, applying artificial intelligence to develop personalized cancer therapies that improve patient outcomes. The company, which offers a suite of solutions for oncology drug development, operates through four segments (Skyline, Helomics, zPREDICTA and Soluble), which covers five subsidiaries: Helomics, zPREDICTA, Soluble Biotech, TumorGenesis and Skyline Medical.

Helomics Holding Corporation is involved in applying artificial intelligence (“AI”) in the Company’s precision medicine business, to offer AI-driven predictive models of tumor drug response to enhance clinical results for patients and to aid diagnostic, biotech and pharmaceutical companies in new personalized diagnostic and drug development. Skyline Medical Inc. (“Skyline Medical”) sells the STREAMWAY System®, a fully automated wall-mounted product, which is utilized to dispose of an unlimited quantity of suction fluid in an operating room setting. It offers continuous performance for medical practitioners by effectively eradicating the healthcare professional’s exposure to potentially infectious liquids gathered during surgical and other medical operations. Soluble Biotech Inc. is involved in research and commercialization focused on protein production, stability studies and solubility improvements. zPREDICTA, Inc. does tumor-specific research using in vitro models for oncology and drug development. TumorGenesis serves as the company’s arm for research and development for zPREDICTA, Soluble and Helomics. This subsidiary is also involved in cellular media kit production which aids cancer cells to grow outside the body of patients while preserving their proteomic and RNA/DNA signatures.

Forward-Looking Statements
Certain matters discussed in this release contain forward-looking statements. These forward-looking statements reflect our current expectations and projections about future events and are subject to substantial risks, uncertainties and assumptions about our operations and the investments we make. All statements, other than statements of historical facts, included in this press release regarding our strategy, future operations, future financial position, future revenue and financial performance, projected costs, prospects, changes in management, plans and objectives of management are forward-looking statements. The words “anticipate,” “believe,” “estimate,” “expect,” “intend,” “may,” “plan,” “would,” “target” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Our actual future performance may materially differ from that contemplated by the forward-looking statements as a result of a variety of factors including, among other things, factors discussed under the heading “Risk Factors” in our filings with the SEC. Except as expressly required by law, the Company disclaims any intent or obligation to update these forward-looking statements.

PREDICTIVE ONCOLOGY INC.
CONDENSED CONSOLIDATED BALANCE SHEETS

    June 30, 2022   December 31, 2021  
    (unaudited)   (audited)  
ASSETS              
Current Assets:              
Cash and Cash Equivalents   $ 28,249,452     $ 28,202,615  
Accounts Receivable     336,397       354,196  
Inventories     474,616       387,684  
Prepaid Expense and Other Assets     763,053       513,778  
Total Current Assets     29,823,518       29,458,273  
               
Fixed Assets, net     2,300,327       2,511,571  
Intangibles, net     3,790,637       3,962,118  
Lease Right-of-Use Assets     505,667       814,454  
Other Long-Term Assets     75,618       167,065  
Goodwill           6,857,790  
Total Assets   $ 36,495,767       43,771,271  
               
LIABILITIES AND STOCKHOLDERS’ EQUITY              
Current Liabilities:              
Accounts Payable   $ 983,672     $ 1,021,774  
Accrued Expenses and other liabilities     856,654       1,262,641  
Derivative Liability     32,318       129,480  
Deferred Revenue     530,797       186,951  
Lease Liability     421,736       639,662  
Total Current Liabilities     2,825,177       3,240,508  
               
Lease Liability – Net of current portion     113,462       239,664  
Other long-term liabilities     21,731       25,415  
Total Liabilities     2,960,370       3,505,587  
               
Stockholders’ Equity:              
Preferred Stock, 20,000,000 authorized inclusive of designated below              
Series B Convertible Preferred Stock, $.01 par value, 2,300,000 shares authorized, 79,246 shares outstanding     792       792  
Common Stock, $.01 par value, 200,000,000 shares authorized, 78,155,127 and 65,614,597 outstanding     781,551       656,146  
Additional paid-in capital     174,555,375       167,649,028  
Accumulated Deficit     (141,802,321 )     (128,040,282 )
Total Stockholders’ Equity     33,535,397       40,265,684  
               
Total Liabilities and Stockholders’ Equity   $ 36,495,767     $ 43,771,271  
                 

PREDICTIVE ONCOLOGY INC.
CONDENSED CONSOLIDATED STATEMENTS OF NET LOSS
(Unaudited)

  Three Months Ended June 30,   Six Months Ended June 30,
    2022       2021       2022       2021  
Revenue $ 371,591     $ 350,207     $ 686,159     $ 630,524  
Cost of goods sold   134,075       142,877       243,518       240,635  
Gross profit   237,516       207,330       442,641       389,889  
               
General and administrative expense   2,351,696       2,077,973       4,775,347       5,348,750  
Operations expense   909,113       567,796       1,800,184       1,142,608  
Sales and marketing expense   271,022       159,788       575,489       274,429  
Loss on impairment of goodwill   7,231,093             7,231,093        
Total operating loss   (10,525,408 )     (2,598,227 )     (13,939,472 )     (6,375,898 )
Other income   41,047       57,033       83,477       85,292  
Other expense   (2,217 )     (1,829 )     (3,206 )     (236,801 )
Gain (loss) on derivative instruments   95,254       (30,909 )     97,162       64,762  
Net loss $ (10,391,324 )   $ (2,573,932 )   $ (13,762,039 )   $ (6,462,645 )
Net loss attributable to common shareholders per common shares-basic and diluted $ (10,391,324 )   $ (2,573,932 )   $ (13,762,039 )   $ (6,462,645 )
               
Loss per common share basic $ (0.15 )   $ (0.05 )   $ (0.20 )   $ (0.15 )
Loss per common share diluted $ (0.15 )   $ (0.05 )   $ (0.20 )   $ (0.15 )
               
Weighted average shared used in computation – basic   68,896,506       51,581,762       67,374,250       44,089,157  
Weighted average shared used in computation – diluted   68,896,506       51,581,762       67,374,250       44,089,157  
               

Media relations contact:
Predictive Oncology
Theresa Ferguson
630-566-2003
[email protected]

Investor relations contact:
Landon Capital
Keith Pinder
(404) 995-6671
[email protected]

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Artificial Intelligence

IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry

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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

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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

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*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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$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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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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