mona.azadkia at stat.math.ethz.ch
Seminar for Statistics
Department of Mathematics
ETH Zürich
Rämistrasse 101
8092 Zürich
Switzerland
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.
I will join the Department of Statistics at London School of Economics in fall 2022 as an Assistant Professor.
Publications
Preprints and submitted papers- Linear regression with unmatched data: a deconvolution perspective with Fadoua Balabdaoui
- A Fast Non-parametric Approach for Local Causal Structure Learning with Armeen Taeb and Peter Bühlmann
- A Simple Measure Of Conditional Dependence with Sourav Chatterjee Ann. Statist.
- Optimal choice of k for k-nearest neighbor regression
- Adaptive Estimation of Noise Variance and Matrix Estimation via USVT Algorithm
Teaching
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
- Student Seminar in Statistics: Statistical Network Modeling, with Professor Peter Bühlmann, 2020-2021 Spring
Talks
- JSM, August 2022
- Online Causal Inference Seminar, June 2022
- 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
Service
Organization- Together with Yuansi Chen, Geoffrey Chinot, Matthias Löffler, and Armeen Taeb, I help organizing the weekly Seminars of Young Data Science Researcher Seminar Zürich
- 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
Other
I enjoy playing Dutar and this is one of my favorite peices.
Living in beautiful California during my Ph.D., I was fortunate to pick up road cycling as a hobby, and Stanford Cycling Club made it safer and more joyful for me.