Mark Braverman (mathematician)

Mark Braverman (born 1984) is an Israeli mathematician and theoretical computer scientist. He was awarded an EMS Prize in 2016 as well as Presburger Award in the same year.[2][3] In 2019, he was awarded the Alan T. Waterman Award.[4]

Mark Braverman
Born1984 (1984)
NationalityIsraeli
Alma materUniversity of Toronto
Awards
Scientific career
FieldsComputer science
Institutions
ThesisComputability and Complexity of Julia Sets[1] (2008)
Doctoral advisorStephen Cook
Websitewww.cs.princeton.edu/~mbraverm/pmwiki/index.php

He earned his doctorate from the University of Toronto in 2008, under the supervision of Stephen Cook. After this, he did post-doctoral research at Microsoft Research and then joined the faculty at University of Toronto. In 2011, he joined the Princeton University department of computer science.[5] In 2014 he was an Invited Speaker with talk Interactive information and coding theory at the International Congress of Mathematicians in Seoul.[6]

Braverman is the son of mathematician Elena Braverman[7] and, through her, the grandson of his co-author, mathematical statistician Yan Petrovich Lumel'skii.[8]

References
  1. Mark Braverman at the Mathematics Genealogy Project
  2. 7ECM Laureates Retrieved 2018-04-18
  3. The EATCS bestows the Presburger Award 2016 on Mark Braverman Retrieved 2018-04-18
  4. "US NSF - Office of the Director - Alan T. Waterman Award". www.nsf.gov. Retrieved 2019-08-10.
  5. Mark Braverman | Computer Science Department at Princeton University Retrieved 2018-04-18
  6. Braverman, Mark (2014). "Interactive information and coding theory" (PDF). Proceedings of the I International Congress of Mathematicians. pp. 539–559.
  7. For the connection between Elena and Mark Braverman, see the dedication of Mark Braverman's master's thesis, Computational Complexity of Euclidean Sets: Hyperbolic Julia Sets are Poly-Time Computable, University of Toronto, 2004.
  8. Braverman, Mark; Lumelskii, Yan (2002), "Chebyshev systems and estimation theory for discrete distributions", Statistics & Probability Letters, 58 (2): 157–165, doi:10.1016/S0167-7152(02)00114-1, MR 1914914


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