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Martin Vechev

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Martin Vechev
Мартин Вечев
Professor Martin Vechev
Born (1977-07-24) 24 July 1977 (age 47)
Sofia, Bulgaria
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/

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.

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

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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

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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

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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

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

References

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  1. ^ a b "SafeAI: Safe Artificial Intelligence". safeai.ethz.ch.
  2. ^ "Building the next generation AI systems". ERC. April 29, 2024.
  3. ^ "Silq is a new high-level programming language for quantum computers". TechCrunch. Retrieved December 19, 2021.
  4. ^ a b "ACM Young Researcher Award for Prof. Martin Vechev". ETH Zurich. 2019.
  5. ^ a b "Robin Milner Young Researcher Award". www.sigplan.org.
  6. ^ a b "Prof. Martin Vechev honoured with ACM Young Researcher Award". inf.ethz.ch. Retrieved December 27, 2021.
  7. ^ a b "313 new ERC Consolidator Grants to tackle big scientific questions". ERC. September 5, 2024. Retrieved September 13, 2024.
  8. ^ a b "ERC Consolidator Grants for Otmar Hilliges and Martin Vechev". inf.ethz.ch. March 17, 2022. Retrieved September 13, 2024.
  9. ^ a b "Building the next generation AI systems". ERC: European Research Council. 2015.
  10. ^ a b Interview at the European Parliament on ERC grants by Martin Vechev (ERC starting grant holder)., retrieved December 16, 2021
  11. ^ a b "CHF 10 million for young talents". ethz.ch. December 14, 2015. Retrieved December 16, 2021.
  12. ^ a b Vesper, Inga (June 4, 2018). "Europe's top science funder shows high-risk research pays off". Nature. 558 (7708): 16–17. Bibcode:2018Natur.558...16V. doi:10.1038/d41586-018-05325-4. PMID 29872198. S2CID 46949722.
  13. ^ "dblp: Martin T. Vechev". dblp.org. Retrieved September 15, 2024.
  14. ^ "Publications". SRI Lab. Retrieved September 15, 2024.
  15. ^ "Veselin Raychev". awards.acm.org. Retrieved September 15, 2024.
  16. ^ "2021 ACM SIGPLAN Dissertation Award for Gagandeep Singh". inf.ethz.ch. September 14, 2021. Retrieved December 16, 2021.
  17. ^ "John C. Reynolds Doctoral Dissertation Award". www.sigplan.org. Retrieved December 16, 2021.
  18. ^ "ACM SIGSAC Dissertation Awards". www.sigsac.org. Retrieved September 15, 2024.
  19. ^ "John C. Reynolds Doctoral Dissertation Award". www.sigplan.org. Retrieved September 13, 2024.
  20. ^ "ACM SIGPLAN Dissertation Award for Benjamin Bichsel". inf.ethz.ch. July 2, 2024. Retrieved September 15, 2024.
  21. ^ "Five doctoral graduates receive ETH Medals". inf.ethz.ch. November 15, 2023. Retrieved September 15, 2024.
  22. ^ "Four doctoral graduates receive ETH Medals". inf.ethz.ch. November 8, 2022. Retrieved September 15, 2024.
  23. ^ "European Chapter of ACM SIGOPS - Roger Needham PhD Award". www.eurosys.org. Retrieved September 15, 2024.
  24. ^ "ETH Medal for doctoral theses". inf.ethz.ch. Retrieved September 15, 2024.
  25. ^ "ETH spin-off LatticeFlow raises $2.8M to help build trustworthy AI systems". TechCrunch. Retrieved December 13, 2021.
  26. ^ "Joint services announce winners of global AI competition". www.army.mil. Retrieved December 13, 2021.
  27. ^ Yovchev, Etien (December 3, 2021). "Seeing strong product adoption LatticeFlow expands to Sofia to accelerate the development of its platform for robust AI models". TheRecursive.com. Retrieved December 18, 2021.
  28. ^ "Snyk acquires DeepCode to boost its code review smarts". TechCrunch. Retrieved December 13, 2021.
  29. ^ "ETH AI spin-off DeepCode acquired by a unicorn in cybersecurity". ethz.ch. September 23, 2020. Retrieved December 16, 2021.
  30. ^ "AI Code Analysis Startup Founded by a Bulgarian Team Gets Acquired by a Cybersecurity Unicorn". Trending Topics. September 23, 2020. Retrieved December 16, 2021.
  31. ^ "ETH spin-off ChainSecurity is taken over by PwC Switzerland". inf.ethz.ch. Retrieved December 13, 2021.
  32. ^ "Why Playfair Capital invested in NetFabric.ai". www.tribume.com. Retrieved September 13, 2024.
  33. ^ България, Forbes (July 12, 2024). "Стартъпът с българско участие NetFabric поглежда към 1.6-милиардния пазар на мониторинг на мрежи". forbesbulgaria.com (in Bulgarian). Retrieved September 13, 2024.
  34. ^ Laoun, Joy. "Zurich-based startup NetFabric.ai secures $2.2M to transform network monitoring". vestbee.com. Retrieved September 13, 2024.
  35. ^ "Invariant Labs". invariantlabs.ai. Retrieved September 15, 2024.
  36. ^ "LogicStar AI". logicstar.ai. Retrieved September 15, 2024.
  37. ^ "SIGPLAN Research Highlights Papers". www.sigplan.org. Retrieved December 27, 2021.
  38. ^ Raychev, Veselin; Vechev, Martin; Krause, Andreas (January 14, 2015). "Predicting Program Properties from "Big Code"". Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. POPL '15. New York, NY, USA: Association for Computing Machinery. pp. 111–124. doi:10.1145/2676726.2677009. ISBN 978-1-4503-3300-9. S2CID 14571254.
  39. ^ Krause, Veselin Raychev, Martin Vechev, Andreas. "Predicting Program Properties from 'Big Code'". cacm.acm.org. Retrieved December 27, 2021.{{cite web}}: CS1 maint: multiple names: authors list (link)
  40. ^ Rinard, Martin C. "Technical Perspective: Borrowing Big Code to Automate Programming Activities". cacm.acm.org. Retrieved December 27, 2021.
  41. ^ "John Atanassov Awards".
  42. ^ John Atanasoff Award 2009 - Vechev, retrieved December 13, 2021
  43. ^ "Мартин Вечев е носителят на тазгодишния приз". econ.bg (in Bulgarian). Retrieved December 13, 2021.
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