Biography:Vlad Voroninski

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Short description: Russian-American mathematician


Vlad Y. Voroninski
Born (1985-03-21) 21 March 1985 (age 39)
Novosibirsk, Russia
NationalityRussian, American
Alma materUC Berkeley
UCLA
Known forPhase Retrieval, Deep Compressive Sensing
AwardsSIAM Outstanding Paper Prize (2014)
Bernhard Friedman Memorial Prize (2013)
Scientific career
FieldsMathematics, Entrepreneurship, Artificial Intelligence
InstitutionsMIT, Helm.ai
Doctoral advisorEmmanuel Candes, John A. Strain

Vlad Y. Voroninski (born 21 March 1985) is a Russian-American mathematician and entrepreneur.

Academic biography

Voroninski received his B.S. and M.A degrees in Applied Mathematics from UCLA in 2008, summa cum laude.[1] He earned his Ph.D. in mathematics from UC Berkeley in 2013, under the supervision of Emmanuel Candes and John Strain.[2] He was on the faculty at the MIT Mathematics Department from 2013 to 2016.[3]

Research

Voroninski's PhD thesis kicked off the study of phase retrieval in the applied mathematics community, by providing the PhaseLift algorithm along with the first mathematical recovery guarantees for phase retrieval.[4] His research has also led to solutions to open problems in computer vision, quantum operator theory, optimization and the theory of deep learning and compressive sensing.[5][6][7][8] More recently, Voroninski's research connected the fields of deep learning and inverse problems, resolving the sample complexity bottleneck for compressive phase retrieval.[9]

Awards and honors

Voroninski was awarded the 2014 SIAM Outstanding Paper Prize,[10][11] given to works that "exhibit originality, for example, papers that bring a fresh look at an existing field or that open up new areas of applied mathematics".[10] His PhD thesis was awarded the university-wide Bernhard Friedman Memorial Prize from UC Berkeley.[12][13] In addition he has received the SIAM Student Paper Prize and SIGEST Review Awards from SIAM.

He received the George E.G. Sherwood Prize from the UCLA Mathematics Department in 2008, which is awarded to the top graduating senior, as well as the Computing Research Association Outstanding Undergraduate Award in 2007.[14]

Entrepreneurship

From 2014 to 2016, Voroninski was the founding Chief Scientist at Sift Security, a cybersecurity machine learning startup which was acquired by Netskope in 2018.[15] As of 2016, Voroninski is the CEO and co-founder of Helm.ai, a stealth mode AI software startup focusing on autonomous driving.[16]

References

  1. "UCLA Professor and Alumni Win SIAM Prizes | UCLA Department of Mathematics". https://www.math.ucla.edu/news/ucla-professor-and-alumni-win-siam-prizes. Retrieved 9 September 2019. 
  2. "Emmanuel Candes | STUDENTS". https://statweb.stanford.edu/~candes/students.html. Retrieved 6 September 2019. 
  3. "Faculty Awards | MIT Mathematics". 15 March 2015. http://math.mit.edu/about/awards/index.php. Retrieved 9 September 2019. 
  4. Hassibi, Babak; Eldar, Yonina C.; Jaganathan, Kishore (26 October 2015) (in en). Phase Retrieval: An Overview of Recent Developments. Bibcode2015arXiv151007713J. https://archive.org/details/arxiv-1411.2183. 
  5. Boumal, Nicolas; Voroninski, Vlad; Bandeira, Afonso (2016). "The non-convex Burer-Monteiro approach works on smooth semidefinite programs". Advances in Neural Information Processing Systems (Curran Associates, Inc.) 29: 2757–2765. Bibcode2016arXiv160604970B. http://papers.nips.cc/paper/6517-the-non-convex-burer-monteiro-approach-works-on-smooth-semidefinite-programs. Retrieved 8 September 2019. 
  6. Mixon, Dustin G. (31 May 2017). "Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk" (in en). https://dustingmixon.wordpress.com/2017/05/31/global-guarantees-for-enforcing-deep-generative-priors-by-empirical-risk/#more-4347. Retrieved 6 September 2019. 
  7. Mixon, Dustin G. (6 June 2013). "Determination of all pure quantum states from a minimal number of observables" (in en). https://dustingmixon.wordpress.com/2013/06/06/determination-of-all-pure-quantum-states-from-a-minimal-number-of-observables/#more-558. Retrieved 6 September 2019. 
  8. "ShapeFit and ShapeKick for Robust, Scalable Structure from Motion". http://www.eccv2016.org/files/posters/S-3B-07.pdf. Retrieved 6 September 2019. 
  9. Hand, Paul; Leong, Oscar; Voroninski, Vlad (2018). "Phase Retrieval Under a Generative Prior". Advances in Neural Information Processing Systems (Curran Associates, Inc.) 31: 9136–9146. https://papers.nips.cc/paper/8127-phase-retrieval-under-a-generative-prior. Retrieved 6 September 2019. 
  10. 10.0 10.1 "SIAM Outstanding Paper Prizes". https://www.siam.org/Prizes-Recognition/Major-Prizes-Lectures/Detail/siam-outstanding-paper-prizes. Retrieved 6 September 2019. 
  11. "UCLA Professor and Alumni Win SIAM Prizes | UCLA Department of Mathematics". https://www.math.ucla.edu/news/ucla-professor-and-alumni-win-siam-prizes. Retrieved 6 September 2019. 
  12. "Graduate Student Honors". https://math.berkeley.edu/sites/default/files/pages/Newsletter2013.pdf. Retrieved 9 September 2019. 
  13. "Bernard Friedman Memorial Prize in Applied Mathematics | Department of Mathematics at University of California Berkeley". https://math.berkeley.edu/about/awards/grad/bernard-friedman-memorial-prize. Retrieved 6 September 2019. 
  14. "Graduating Students Take Top Honors". https://www.math.ucla.edu/sites/default/files/newsletter/nl2008.pdf. Retrieved 9 September 2019. 
  15. Miller, Ron. "Netskope nabs Sift Security to enhance infrastructure cloud security". TechCrunch. https://techcrunch.com/2018/07/12/netskope-nabs-sift-security-to-enhance-infrastructure-cloud-security/. Retrieved 6 September 2019. 
  16. Herger, Mario (17 December 2018). "Helm.ai 62nd Company With California Test License for Autonomous Cars" (in en). The Last Driver License Holder.... https://thelastdriverlicenseholder.com/2018/12/17/helm-ai-62nd-company-with-california-test-license-for-autonomous-cars/. Retrieved 6 September 2019.