Yoav Zemel

I am a Research Associate at the Statistical Laboratory, mentored by Professor Richard Samworth.

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)

lastname@statslab.cam.ac.uk (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. & An Invitation to Statistics in Wasserstein Spaces Springer Briefs in Probability & Mathematical Statistics. |

__ 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.

Panaretos, V. M. & __ Zemel, Y.__ (2019)

Statistical Aspects of Wasserstein Distances.

Sommerfeld, M., Schrieber, J., __ Zemel, Y.__ & Munk, A. (2019)

Optimal Transport: Fast probabilistic Approximation with Exact Solvers.

Henshaw, J. M. & __ Zemel, Y.__ (2017)

A unified measure of linear and nonlinear selection on quantitative traits.

This paper won the Robert May Prize, awarded to the first author by convention.

R code available on GitHub

Panaretos, V. M. & __ Zemel, Y.__ (2016)

Amplitude and phase variation of point processes.

Klatt, M., Munk, A., B. & __ Zemel, Y.__ (2020+)

Limit laws for empirical optimal solutions in stochastic linear programs.

Galasso, B., __ Zemel, Y.__ & de Carvalho, M. (2018+)

Bayesian semiparametric modelling of phase-varying point processes.

** Zemel, Y.** (2020)

Discussion on "Functional models for time-varying random objects" by P. Dubey & H.-G. Müller.

Lent 2020: Topics in Statistical Theory

Topology for Learning and Data Analysis, Toulouse, September 30 - October 4. Slides

Royal Statistical Society discussion meeting, London, October 16. Slides

London School of Economics, December 6

Meetings in Mathematical Statistics, Luminy, December 16-20

Tel Aviv University, December 31

Statistics for Topological and Discrete Data, Lausanne (POSTPONED)

Statistical and Computational Optimal Transport Summer School, Lausanne (POSTPONED)

International Symposium on Nonparametric Statistics, Paphos (POSPONED TO JUNE 2021)

Geometrical Statistics and Functional Data, Lausanne (POSTPONED)

5th International Workshop on Functional and Operatorial Statistics, Brno (POSPONED TO JUNE 2021)