I am also College Research Associate at Magdalene College.
Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WB.
Room D0.20 (Pavillion D)
email@example.com (replace the first 8 characters by my surname)
(+44) 01223 339792
|2007-2010||B.Sc. in mathematics and economics, Hebrew University of Jerusalem, summa cum laude|
|2010-2012||M.Sc. in applied mathematics, orientated in Statistics and Financial Mathematics, École polytechnique fédérale de Lausanne|
|2012-2017||PhD, École polytechnique fédérale de Lausanne, advised by Professor Victor M. Panaretos|
|2017||Postdoctoral researcher, École polytechnique fédérale de Lausanne|
|2018-2019||SNSF Early Postdoc.Mobility Fellow, Georg-August-Universität Göttingen, mentored by Professor Axel Munk|
Panaretos, V. M. & Zemel, Y. (2020)
Heinemann, F., Munk, A., & Zemel, Y. (2022)
Randomised Wasserstein barycenter computation: Resampling with statistical guarantees.
SIAM Journal of Mathematics of Data Science 4(1):229-259. The accompanying R package WSGeometry is available from CRAN
Klatt, M., Munk, A., & Zemel, Y. (2020+)
Limit laws for empirical optimal solutions in stochastic linear programs.
Annals of Operations Research, in press
Galasso, B., Zemel, Y. & de Carvalho, M. (2018+)
Bayesian semiparametric modelling of phase-varying point processes.
Electronic Journal of Statistics (in press). The accompanying R package Rmpp is available from GitHub
Zemel, Y. & Panaretos, V. M. (2019)
Fréchet Means and Procrustes Analysis in Wasserstein Space.
Masarotto, V., Panaretos, V. M. & Zemel, Y. (2019)
Procrustes metrics on covariance operators and optimal transportation of Gaussian processes.
Invited paper, Special Issue on Manifold Statistics, Sankhya A 81(1):172-213
Panaretos, V. M. & Zemel, Y. (2019)
Statistical Aspects of Wasserstein Distances.
Annual Review of Statistics and its Applications 6:405-431
Sommerfeld, M., Schrieber, J., Zemel, Y. & Munk, A. (2019)
Optimal Transport: Fast probabilistic Approximation with Exact Solvers.
Journal of Machine Learning Research 20(105):1-23
Henshaw, J. M. & Zemel, Y. (2017)
A unified measure of linear and nonlinear selection on quantitative traits.
Methods in Ecology and Evolution 8(5):604-614
This paper won the Robert May Prize, awarded to the first author by convention.
R code available on GitHub
Zemel, Y. (2020)
Discussion on "Functional models for time-varying random objects" by P. Dubey & H.-G. Müller.
Journal of the Royal Statistical Society, Series B 82(2):316
Lent 2020: Topics in Statistical Theory
February 2021: Short course: Introduction to optimal transport in statistics at the Swiss Doctoral School in Statistics and Applied Probability