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Ronen Eldan
Ronen Eldan, 2020
Ronen Eldan, 2020
Born
רונן אלדן

1980 (age 43–44)
Tel Aviv, Israel
Alma mater
OccupationMathematician
SpouseBritt Eldan
Awards
Scientific career
Fields
  • Probability
  • Functional analysis
  • Metric geometry
  • Computational geometry
  • Mathematical physics
  • Learning theory
InstitutionsWeizmann Institute of Science
Doctoral advisors

Ronen Eldan (Hebrew: רונן אלדן; born 1980) is an Israeli mathmetician and theoretical physicist. Eldan is a senior researcher at the Weizmann Institute of Science.[1] He is among the recipients of the 2022 Blavatnik Award for Young Scientists.[2][3]

Biography

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Early life

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Ronen Eldan was born in Israel in 1980 to Rachel and Yoram Eldan. Eldan spent a majority of his childhood growing up in Ramat Aviv.

Education

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In 2005, Eldan received his B.A degree in Maths from the Open University of Israel. In 2006, he persued an additional discipline in physics from Tel Aviv University.[4]

In 2013, Eldan received his PhD. from Tel-Aviv University and later worked as a post-doctorate researcher at the University of Washington.[5]

Career

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Eldan worked as an applied mathematician, programming team-leader for the IDF, and also as a computer security specialist. In 2011, he worked as an intern at Microsoft research.[4]

In 2015, Eldan joined the Weizmann Institute's Department of Mathematics.[6]

Eldan's research touches on various mathematical fields, mostly those dealing with high dimensional probability. Eldan's main contribution is that of developing a new methodology derived from the connection seen while analyzing stochastic calculus and high-dimensional systems. Research performed by Eldan has led to new algorithms for decision-making in artificial intelligence and the limitations of neural networks in machine learning.[3]

In 2018, Eldan was awarded the Erdos Prize in Mathematics.

In 2022, Eldan was awarded the Blavatnik Award for Young Scientists for his significant contributions made in the mathematical field of high dimensional probability. The techniques developed by Eldan can be applied in various forms.[2]

Works

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  • Eldan, Ronen; Shamir, Omer (2022). "Log concavity and concentration of Lipschitz functions on the Boolean hypercube". Journal of Functional Analysis. 282 (8). Elsevier BV: 109392. doi:10.1016/j.jfa.2022.109392. ISSN 0022-1236.
  • Eldan, Ronen (2020-08-27). "A Simple Approach to Chaos For p-Spin Models". Journal of Statistical Physics. 181 (4). Springer Science and Business Media LLC: 1266–1276. doi:10.1007/s10955-020-02626-9. ISSN 0022-4715.
  • Eldan, Ronen (2019-06-04). "Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation". Probability Theory and Related Fields. 176 (3–4). Springer Science and Business Media LLC: 737–755. doi:10.1007/s00440-019-00924-2. ISSN 0178-8051.
  • Bubeck, Sébastien; Eldan, Ronen; Lehec, Joseph (2018-04-06). "Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo". Discrete & Computational Geometry. 59 (4). Springer Science and Business Media LLC: 757–783. doi:10.1007/s00454-018-9992-1. ISSN 0179-5376.
  • Eldan, Ronen (2011-02-19). "A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body". Discrete & Computational Geometry. 46 (1). Springer Science and Business Media LLC: 29–47. doi:10.1007/s00454-011-9328-x. ISSN 0179-5376.
  • Eldan, Ronen (2013-03-22). "Thin Shell Implies Spectral Gap Up to Polylog via a Stochastic Localization Scheme". Geometric and Functional Analysis. 23 (2). Springer Science and Business Media LLC: 532–569. doi:10.1007/s00039-013-0214-y. ISSN 1016-443X.
  • Eldan, Ronen (2014-10-30). "A two-sided estimate for the Gaussian noise stability deficit". Inventiones mathematicae. 201 (2). Springer Science and Business Media LLC: 561–624. doi:10.1007/s00222-014-0556-6. ISSN 0020-9910.
  • Sébastien Bubeck, Ronen Eldan: “Multi-scale exploration of convex functions and bandit convex optimization”, 2015; arXiv:1507.06580.
  • Sébastien Bubeck, Ronen Eldan, Yin Tat Lee: “Kernel-based methods for bandit convex optimization”, 2016; arXiv:1607.03084.
  • Eldan, Ronen; Lee, James R. (2018-04-01). "Regularization under diffusion and anticoncentration of the information content". Duke Mathematical Journal. 167 (5). Duke University Press. doi:10.1215/00127094-2017-0048. ISSN 0012-7094.
  • Ronen Eldan, Bo'az Klartag: “Approximately gaussian marginals and the hyperplane conjecture”, 2010; arXiv:1001.0875.
  • Eldan, Ronen (2015-07-01). "Diffusion-limited aggregation on the hyperbolic plane". The Annals of Probability. 43 (4). Institute of Mathematical Statistics. doi:10.1214/14-aop928. ISSN 0091-1798.
  • Jian Ding, Ronen Eldan, Alex Zhai: “On multiple peaks and moderate deviations for supremum of Gaussian field”, 2013; arXiv:1311.5592.
  • Ronen Eldan: “Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations”, 2016; arXiv:1612.04346.
  • Ronen Eldan, Dan Mikulincer, Alex Zhai: “The CLT in high dimensions: quantitative bounds via martingale embedding”, 2018; arXiv:1806.09087.
  • Ronen Eldan: “Taming correlations through entropy-efficient measure decompositions with applications to mean-field approximation”, 2018; arXiv:1811.11530.
  • Eldan, Ronen; Mikulincer, Dan (2020-03-11). "Stability of the Shannon–Stam inequality via the Föllmer process". Probability Theory and Related Fields. 177 (3–4). Springer Science and Business Media LLC: 891–922. doi:10.1007/s00440-020-00967-w. ISSN 0178-8051.
  • Ronen Eldan, Renan Gross: “Concentration on the Boolean hypercube via pathwise stochastic analysis”, 2019; arXiv:1909.12067.

Awards

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References

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[[Category:1980 births]] [[Category:Living people]] [[Category:Tel Aviv University alumni]] [[Category:University of Washington alumni]] [[Category:Weizmann Institute of Science faculty]] [[Category:Israeli scientists]] [[Category:Jewish scientists]] [[Category:Israeli mathematicians]]