Thomas Hofmann
About Thomas Hofmann
Thomas Hofmann is a founding partner at Future Fund and a professor of machine learning at ETH Zurich. He has a diverse background in computer science, having held various academic and industry positions, including roles at Google and Brown University.
Work at Future Fund
Thomas Hofmann serves as a Founding Partner at Future Fund since 2023. In this role, he contributes to the strategic direction and investment decisions of the organization. His extensive background in computer science and investment positions him to influence the fund's initiatives effectively.
Current Roles in Investment
Hofmann is currently involved as a Seed Investor at multiple organizations, including DeepJudge and Lakera since 2021. He has also been a Seed Investor at Daedalean AI since 2017. His investment activities focus on innovative technologies and startups within the Greater Zurich Area.
Academic Background and Expertise
Hofmann studied at The University of Bonn, where he earned a Doctor of Philosophy (PhD) in Computer Science from 1987 to 1996. He also completed his Abitur at Gymnasium from 1976 to 1985. His academic career includes positions as a Professor of Machine Learning at ETH Zurich since 2014 and previous roles at prestigious institutions such as Brown University and Massachusetts Institute of Technology.
Professional Experience in Technology and Research
Hofmann has held various significant positions in the technology sector. He worked as an Engineering Director at Google from 2006 to 2013 and co-founded Recommind, where he served from 2000 to 2006. His experience also includes roles at DeepCode, 1plusX, and Fraunhofer-Gesellschaft, where he contributed to advancements in data science and machine learning.
Contributions to Natural Language Processing and Data Analytics
Hofmann has a strong background in natural language processing, which enhances his skill set in computer science. His expertise extends to online advertising and user modeling, supporting his focus on machine learning and data analytics. He has also been involved in information retrieval, improving his capability in managing large-scale data systems.