Martin Vechev

Bulgarian computer scientist From Wikipedia, the free encyclopedia

Martin Vechev

Martin Vechev (born 24 July 1977) is a full professor at the department of computer science at ETH Zurich, working in the fields of programming languages, machine learning and computer security. He leads the Secure, Reliable, and Intelligent Systems Lab (SRI),[1] part of the Department of Computer Science.

Quick Facts Born, Nationality ...
Martin Vechev
Мартин Вечев
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Professor Martin Vechev
Born (1977-07-24) 24 July 1977 (age 47)
NationalityBulgarian
Alma mater
Known forMachine learning for code (BigCode), Robust and Trustworthy AI, Quantum Programming, Silq Programming Language
Awards
Scientific career
FieldsProgramming Languages, Machine Learning, Security
Institutions
Doctoral advisorMartin Richards (computer scientist)
Websitehttps://www.sri.inf.ethz.ch/people/martin
https://insait.ai/prof-martin-vechev/
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Vechev is the founder, architect and Scientific Director of INSAIT, a research center in computer science and artificial intelligence in Eastern Europe, created in partnership with ETH Zurich and EPFL.

He is known for his works in machine learning for code (BigCode), where he introduced statistical programming engines trained on large codebases,[2] reliable and trustworthy artificial intelligence,[1] where he introduced abstract interpretation methods for reasoning about deep neural networks to enable the verification of large machine learning models, and quantum programming, introducing the first high-level programming language and system Silq.[3]

Vechev has received the ACM SIGPLAN Robin Milner Young Researcher Award in 2019,[4][5][6] an ERC Consolidator Grant[7][8] in 2021, a mid-career award given to outstanding researchers with highly promising scientific track records focusing on safe and trustworthy AI, and a highly-visible ERC Starting Grant,[9][10][11][12] which helped shape the area of AI for code. Vechev has also co-authored over 170 research publications,[13] some of which have been recognized with best paper awards, distinguished paper awards, as well as spotlight and oral selections.[14]

Prior to starting at ETH Zurich in 2012, Vechev was a Research Staff Member at the IBM T.J. Watson Research Center in New York, US from 2007 to 2011.

Advised doctoral students

Vechev has supervised and graduated 17 doctoral students at ETH Zurich. Several of his Ph.D. students received major recognitions for their dissertations. Veselin Raychev received an Honorable Mention for the ACM Doctoral Dissertation Award[15] and the ETH medal. Gagandeep Singh received the ACM SIGPLAN Doctoral Dissertation Award.[16][17] Samuel Steffen was awarded the ACM SIGSAC Doctoral Dissertation Award Runner-Up.[18] Benjamin Bichsel received both the ACM SIGPLAN John C. Reynolds Doctoral Dissertation Award[19][20] and the ETH medal[21] on the topic of 'High-Level Quantum Programming'. Timon Gehr received the ETH medal.[22] Rüdiger Birkner was awarded the 2022 EuroSys Roger Needham Ph.D. Award.[23] Dimitar K. Dimitrov received the ETH medal.[24]

Early life and education

Martin Vechev was born in Sofia, Bulgaria, where he attended the Sofia High School of Mathematics (SMG) from 1991 to 1994. He received a B.Sc. in Computer Science from Simon Fraser University in 2001 and a Ph.D. in computer science from the University of Cambridge in 2008.

Serial entrepreneurship

Vechev has also co-founded 6 deep tech start-ups:

  • LatticeFlow, building a platform for delivering robust and trustworthy AI systems[25][26][27]
  • DeepCode, an AI-based code review system, acquired by the security unicorn Snyk in 2020[28][29][30]
  • ChainSecurity, smart contract security audits based on formal mathematical guarantees, acquired by PwC Switzerland in 2020[31]
  • NetFabric, focused on AI-based network monitoring[32][33][34]
  • Invariant Labs, dedicated to developing advanced security solutions for autonomous AI agents[35]
  • and LogicStar, a company developing AI agents that autonomously resolve bugs[36]

Awards

Vechev's work has been recognized by many international awards, including:

References

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