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个人简介
Dr. Feige is the Global Head of Artificial Intelligence and Machine Learning for Cerberus Technology Solutions, a subsidiary of Cerberus focused exclusively on leveraging emerging technology, data, and advanced analytics to drive business transformations. Based in London, Dr. Feige leads the platform’s artificial intelligence (“AI”) and machine learning (“ML”) practice to apply data-driven solutions across Cerberus’ portfolio of investment as well as analyze value creation opportunities during diligence processes.
Prior to joining Cerberus in 2022, Dr. Feige was an executive with Faculty, one of Europe’s leading AI companies, and most recently served as Director of AI. During his tenure, he founded the company’s AI research lab and subsequently built and led a team of 25 applied AI & ML practitioners. In this role, he spearheaded the expansion of Faculty’s AI platform and go-to-market strategy. Before Faculty, Dr. Feige was an associate at McKinsey & Company where he focused on scaling the Firm’s analytics capabilities across the West Coast of the United States.
Dr. Feige brings together research-frontier AI expertise as well as experience in driving change within organizations through technology. He has published papers in leading AI conferences and research institutions, including a single-author paper in the International Conference on Machine Learning (ICML) and a breakthrough AI Explainability paper in NeurIPS.
During the pandemic, he also led the data and modeling effort behind the UK National Health Service’s (NHS) COVID-19 response. This included building with his team an operational intelligence platform from which critical hospital resources were managed in real-time across the country.
Dr. Feige received his undergraduate degree with the highest honors from McGill University and his Ph.D. in Theoretical Physics from Harvard University, where he was awarded the Goldhaber Prize as the top Ph.D. student in physics.
Prior to joining Cerberus in 2022, Dr. Feige was an executive with Faculty, one of Europe’s leading AI companies, and most recently served as Director of AI. During his tenure, he founded the company’s AI research lab and subsequently built and led a team of 25 applied AI & ML practitioners. In this role, he spearheaded the expansion of Faculty’s AI platform and go-to-market strategy. Before Faculty, Dr. Feige was an associate at McKinsey & Company where he focused on scaling the Firm’s analytics capabilities across the West Coast of the United States.
Dr. Feige brings together research-frontier AI expertise as well as experience in driving change within organizations through technology. He has published papers in leading AI conferences and research institutions, including a single-author paper in the International Conference on Machine Learning (ICML) and a breakthrough AI Explainability paper in NeurIPS.
During the pandemic, he also led the data and modeling effort behind the UK National Health Service’s (NHS) COVID-19 response. This included building with his team an operational intelligence platform from which critical hospital resources were managed in real-time across the country.
Dr. Feige received his undergraduate degree with the highest honors from McGill University and his Ph.D. in Theoretical Physics from Harvard University, where he was awarded the Goldhaber Prize as the top Ph.D. student in physics.
研究兴趣
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Bethany Connolly, Kim Moore,Tobias Schwedes, Alexander Adam, Gary Willis,Ilya Feige,Christopher Frye
CoRR (2023): 6384-6401
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Bethany Connolly, Kathryn L. Moore,Tobias Schwedes, Alison Adam, Guillermo B. Willis,Ilya Feige,Christopher Frye
arXiv (Cornell University) (2023)
Nick Groves-Kirkby, Ewan Wakeman, Seema Patel,Robert Hinch, Tineke Poot, Jonathan Pearson, Lily Tang, Edward Kendall,Ming Tang, Kim Moore,Scott Stevenson, Bryn Mathias,
Epidemics (2022): 100662-100662
CoRR (2020)
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arXiv (Cornell University) (2020)
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arxiv(2020)
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