Mona Azadkia
Mona Azadkia

mona.azadkia at

Seminar for Statistics
Department of Mathematics
ETH Zürich
Rämistrasse 101
8092 Zürich

Google Scholar

I am a postdoc at the Seminar for Statistics at ETH Zürich, mentored by Prof. Peter Bühlmann. I am broadly interested in problems in high-dimensional statistics, non-parametric estimation, and working on new methodologies for understanding the dependency structure in the data, and the application in causal inference.

I completed my PhD in Statistics in 2020 at Stanford University, where I was fortunate to be supervised by Prof. Sourav Chatterjee.

Prior to Stanford, I did my undergraduate studies in Mathematics at Sharif University of Technology, where I did my Masters in Mathematics with more focus on probability theory, advised by Kasra Alishahi and Mir Omid Haji Mirsadeghi.




Teaching Assistant at Stanford University
  • Introduction to Stochastic Processes II (STATS 218), Sourav Chatterjee, 2015-2016 Spring
  • Statistical Methods in Engineering and the Physical Sciences (STATS 110), Timothy Daley, 2016-2017 Autumn
  • Introduction to Time Series Analysis (STATS 207), David Donoho, 2016-2017 Spring
  • Introduction to Statistical Learning (STATS 216v), Trevor Hastie, 2016-2017 Summer
  • Theory of Statistics I (STATS 300A), Iain Johnstone, 2017-2018 Autumn
  • Theory of Probability I (STATS 310A), Sourav Chatterjee, 2018-2019 Autumn
  • Theory of Probability II (STATS 310B), David Siegmund, 2018-2019 Winter
  • Introduction to Statistical Methods (STATS 60), Michael Baiocchi, 2018-2019 Spring
  • Introduction to Statistical Learning (STATS 216v), Ismael Lemhadri, 2018-2019 Summer
  • Introduction to Nonparametric Statistics (STATS 205), Tengyu Ma, 2019-2020 Autumn
  • Introduction to Statistical Methods (STATS 60), Nicholas Cook, 2019-2020 Spring
  • Introduction to Regression Models and Analysis of Variance (STATS 203v), Souvik Ray, 2019-2020 Summer
Teaching at ETH Zürich
  • Student Seminar in Statistics: Statistical Network Modeling, with Professor Peter Bühlmann, 2020-2021 Spring


  • Institut de Mathématiques de Toulouse, April 2022
  • University of British Columbia, Department of Statistics, January 2022
  • UCLA, Department of Statistics, January 2022
  • CM Statistics, December 2021
  • University of Edinburgh, Department of Mathematics, December 2021
  • London School of Economics, Department of Statistics, November 2021
  • JSM, August 2021
  • Technical University of Munich, Seminar on Statistics and Data Science, April 2021
  • Bilkent University, Mathematics Department Seminar, February 2021
  • Sharif University of Technology, Winter Seminar Series (WSS), January 2021
  • Young Data Science Researcher Seminar ETH Zürich, October 2020
  • Rutgers University, Department of Statistics, January 2020
  • Stanford CS-Theory lunch Seminar, October 2019
  • Industrial Affiliates Annual Conference, Department of Statistics, Stanford University, February 2019


  • Together with Yuansi Chen, Geoffrey Chinot, Matthias Löffler, and Armeen Taeb, I help organizing the weekly Seminars of Young Data Science Researcher Seminar Zürich
Journal and Conference Reviews
  • Annals of Statistics
  • Journal of the American Statistical Association
  • JMLR
  • Statistics & Probability Letters
  • SIAM Journal on Mathematics of Data Science
  • Journal of Multivariate Analysis
  • Biometrika
  • UAI
  • Mentor at EDGE mentorship program at Stanford University
  • Mentor at SWIMM mentorship program at Mathematics Department at Stanford University


I enjoy playing Dutar and this is one of my favorite peices.

Living in the beautiful California during my PhD, I was fortunate to pick up road cycling as a hobby, and Stanford Cycling Club made it safer and more joyful for me.

Plain Academic