Vlad Voroninski
{{Short description|Russian-American mathematician}}
{{Infobox scientist
| boxwidth =
| name = Vlad Y. Voroninski
| image =
| image_size =
| alt =
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| birth_date = {{birth date and age|1985|03|21|df=yes}}
| birth_place = Novosibirsk, Russia
| residence =
| nationality = Russian, American
| fields = Mathematics, Entrepreneurship, Artificial Intelligence
| workplaces = MIT, Helm.ai
| alma_mater = UC Berkeley
UCLA
| doctoral_advisor = Emmanuel Candes, John A. Strain
| academic_advisors =
| doctoral_students =
| notable_students =
| known_for = Phase Retrieval, Deep Compressive Sensing
| awards = SIAM Outstanding Paper Prize (2014)
Bernhard Friedman Memorial Prize (2013)
}}
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.{{cite web |title=UCLA Professor and Alumni Win SIAM Prizes {{!}} UCLA Department of Mathematics |url=https://www.math.ucla.edu/news/ucla-professor-and-alumni-win-siam-prizes |website=www.math.ucla.edu |accessdate=9 September 2019}} He earned his Ph.D. in mathematics from UC Berkeley in 2013, under the supervision of Emmanuel Candes and John Strain.{{cite web |title=Emmanuel Candes {{!}} STUDENTS |url=https://statweb.stanford.edu/~candes/students.html |website=statweb.stanford.edu |accessdate=6 September 2019}} He was on the faculty at the MIT Mathematics Department from 2013 to 2016.{{cite web |title=Faculty Awards {{!}} MIT Mathematics |url=http://math.mit.edu/about/awards/index.php |accessdate=9 September 2019 |date=15 March 2015|archive-url=https://web.archive.org/web/20150315183912/http://math.mit.edu/about/awards/index.php |archive-date=2015-03-15 }}
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.{{cite book |last1=Hassibi |first1=Babak |last2=Eldar |first2=Yonina C. |last3=Jaganathan |first3=Kishore |contribution=Phase Retrieval: An Overview of Recent Developments|arxiv=1510.07713 |title=Optical Compressive Imaging|year=2016|publisher=CRC Press|isbn=9781315371474|doi=10.1201/9781315371474|pages=263–296}} 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.{{cite journal |last1=Boumal |first1=Nicolas |last2=Voroninski |first2=Vlad |last3=Bandeira |first3=Afonso |title=The non-convex Burer-Monteiro approach works on smooth semidefinite programs |journal=Advances in Neural Information Processing Systems |volume=29 |date=2016 |pages=2757–2765 |url=http://papers.nips.cc/paper/6517-the-non-convex-burer-monteiro-approach-works-on-smooth-semidefinite-programs |accessdate=8 September 2019 |publisher=Curran Associates, Inc.|arxiv=1606.04970 |bibcode=2016arXiv160604970B }}{{cite web |last1=Mixon |first1=Dustin G. |title=Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk |url=https://dustingmixon.wordpress.com/2017/05/31/global-guarantees-for-enforcing-deep-generative-priors-by-empirical-risk/#more-4347|website=Short, Fat Matrices |accessdate=6 September 2019 |language=en |date=31 May 2017}}{{cite web |last1=Mixon |first1=Dustin G. |title=Determination of all pure quantum states from a minimal number of observables |url=https://dustingmixon.wordpress.com/2013/06/06/determination-of-all-pure-quantum-states-from-a-minimal-number-of-observables/#more-558 |website=Short, Fat Matrices |accessdate=6 September 2019 |language=en |date=6 June 2013}}{{cite web |title=ShapeFit and ShapeKick for Robust, Scalable Structure from Motion |url=http://www.eccv2016.org/files/posters/S-3B-07.pdf |accessdate=6 September 2019}} More recently, Voroninski's research connected the fields of deep learning and inverse problems, resolving the sample complexity bottleneck for compressive phase retrieval.{{cite journal |last1=Hand |first1=Paul |last2=Leong |first2=Oscar |last3=Voroninski |first3=Vlad |title=Phase Retrieval Under a Generative Prior |journal=Advances in Neural Information Processing Systems |volume=31 |date=2018 |pages=9136–9146 |url=https://papers.nips.cc/paper/8127-phase-retrieval-under-a-generative-prior |accessdate=6 September 2019 |publisher=Curran Associates, Inc.}}
Awards and honors
Voroninski was awarded the 2014 SIAM Outstanding Paper Prize,{{cite web |title=SIAM Outstanding Paper Prizes |url=https://www.siam.org/Prizes-Recognition/Major-Prizes-Lectures/Detail/siam-outstanding-paper-prizes |website=SIAM |accessdate=6 September 2019}}{{cite web |title=UCLA Professor and Alumni Win SIAM Prizes {{!}} UCLA Department of Mathematics |url=https://www.math.ucla.edu/news/ucla-professor-and-alumni-win-siam-prizes |website=www.math.ucla.edu |accessdate=6 September 2019}} 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". His PhD thesis was awarded the university-wide Bernhard Friedman Memorial Prize from UC Berkeley.{{cite web |title=Graduate Student Honors |url=https://math.berkeley.edu/sites/default/files/pages/Newsletter2013.pdf |website=math.berkeley.edu |accessdate=9 September 2019}}{{cite web |title=Bernard Friedman Memorial Prize in Applied Mathematics {{!}} Department of Mathematics at University of California Berkeley |url=https://math.berkeley.edu/about/awards/grad/bernard-friedman-memorial-prize |website=math.berkeley.edu |accessdate=6 September 2019}} 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.{{cite web |title=Graduating Students Take Top Honors |url=https://www.math.ucla.edu/sites/default/files/newsletter/nl2008.pdf |website=math.ucla.edu |accessdate=9 September 2019}}
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.{{cite news |last1=Miller |first1=Ron |title=Netskope nabs Sift Security to enhance infrastructure cloud security |url=https://techcrunch.com/2018/07/12/netskope-nabs-sift-security-to-enhance-infrastructure-cloud-security/ |accessdate=6 September 2019 |work=TechCrunch}} As of 2016, Voroninski is the CEO and co-founder of Helm.ai, a stealth mode AI software startup focusing on autonomous driving.{{cite news |last1=Herger |first1=Mario |title=Helm.ai 62nd Company With California Test License for Autonomous Cars |url=https://thelastdriverlicenseholder.com/2018/12/17/helm-ai-62nd-company-with-california-test-license-for-autonomous-cars/ |accessdate=6 September 2019 |work=The Last Driver License Holder... |date=17 December 2018 |language=en}}
References
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Category:21st-century American mathematicians
Category:21st-century Russian mathematicians