I am lucky to have received invites to speak at several venues over the past few years. Below is a complete list of my invited talks to date.
Representative talk videos for my work on the following topics: (i) Spectrum-aware debiasing with applications to inference under structured dependencies, heavy-tailed covariates, (ii) New central limit theorems in high dimensions for two-stage estimators in causal inference, (iii) Min-norm interpolation and boosting, (iv) Modern maximum likelihood theory for high-dimensional logistic regression, (v) Overview talk for the National Academies’ Symposium on Mathematical Challenges for Machine Learning and Artificial Intelligence.
2024
Recent Developments Beyond Classical Regimes in Statisical Inference and Machine Learning, Centre International de Mathematiques et Informatique de Toulouse, France.
Bernoulli-IMS 11th World Congress in Probability and Statistics, Bochum, Germany.
International Symposium on Nonparametric Statistics, Braga, Portugal.
Statistical Machine Learning for High-Dimensional Data, Institute of Mathematical Sciences, National University of Singapore.
Statistics Colloquium, Rutgers University.
Econometrics Seminar Series, NYU.
58th Annual Conference on Information Sciences and Systems, Princeton University.
2023
Big Data and Machine Learning in Econometrics, Finance, and Statistics, UChicago.
Inference and Discovery in Complex Large High-Dimensional Data, Invited Paper Session, JSM.
Statistical Physics and Machine Learning Back Together Again, Cargese.
Learning and Inference from Structured Data: Universality, Correlations and Beyond, International Centre for Theoretical Physics (ICTP), Italy.
FLAIR Seminar Series, EPFL.
Approximation Methods in Bayesian Analysis, CIRM Luminy.
GRAMSIA: Graphical Models, Statistical Inference, and Algorithms, Center for Mathematical Sciences and Applications, Harvard University.
Recent Advances in Statistics and Data Science, Rutgers University.
Statistics Seminar, Cornell University
MIT/Harvard Econometrics Seminar, Harvard University.
Statistical Machine Learning Workshop, Columbia University.
Lightning Talk, International Strategy Forum Global Summit 2023, Schmidt Futures, Los Angeles.
2022
International Indian Statistical Association Conference, Indian Institute of Science, Bengaluru, India.
Institute of Mathematical Statistics International Conference on Statistics and Data Science, Florence, Italy.
Seminar, Department of Computer Science and Engineering, Chalmers University of Technology, Sweden.
Harvard Center of Mathematical Sciences and Applications (CMSA) and Google joint meeting, Cambridge, MA.
Neyman Seminar, Statistics Department, UC Berkeley.
Statistics and Probability Seminars, School of Mathematical Sciences, University of Nottingham, online due to Covid-19.
Big Data and Machine Learning in Econometrics, Finance, and Statistics, University of Chicago.
Colloquium Seminar, Toyota Technological Institute at Chicago.
High-dimensional Statistics and Probability in ML, Chalmers University, Sweden, presented online due to visa constraints.
Deep Learning Theory Workshop and Summer School, Simons Institute for the Theory of Computing, UC Berkeley.
Group Meeting for the Yu Group, UC Berkeley, online due to Covid-19.
Joint Statistics and Econometrics Seminar, UC Riverside, online due to Covid-19.
International Seminar on Selective Inference, Online Seminar Series.
Statistics and Data Science Conference, Keynote Speaker, MIT.
56th Annual Conference on Information Sciences and Systems, Princeton University, online due to Covid-19.
Workshop on “Hot Topics: Foundations of Stable, Generalizable and Transferable Statistical Learning“, Mathematical Sciences Research Institute, Berkeley.
2021
Stochastics and Statistics Seminar, MIT Statistics and Data Science Center.
Mathematical Challenges in Machine Learning and Artificial Intelligence, Symposium of National Academies’ Board on Mathematical Sciences and Analytics, online due to Covid-19.
Probability Seminar, University of Waterloo, online due to Covid-19.
Statistics Seminar, University of Toronto, online due to Covid-19.
Johns Hopkins Mathematical Institute for Data Science Seminar, online due to Covid-19.
Weekly Seminar, Computational Complexity of Statistical Inference program, Simons Institute for the Theory of Computing, UC Berkeley.
Online session on “Mean field asymptotics in high-dimensional statistics“, related to the 12th International Conference on Multiple Comparison Procedures.
Statistical Learning Seminars, Online seminar series co-organized by The Department of Mathematics, Wroclaw University, The Department of Mathematics, University of Burgundy, and The Department of Statistics, Lund University.
Statistics Colloquium, Texas A & M University, online due to Covid-19.
Discussant talk, International Seminar on Selective Inference.
Seminar, Statistical Laboratory, University of Cambridge, online due to Covid-19.
Centre for Research in Statistical Methodology Seminar Series, Department of Statistics, The University of Warwick, online due to Covid-19.
2020
Applied Math Colloquium, Brown University, online due to Covid-19.
Stochastics Seminar, Department of Mathematics, Georgia Institute of Technology, online due to Covid-19.
Statistics Seminar, Marshall School of Business, University of Southern California, online due to Covid-19.
Youth in High Dimensions: Machine Learning, High-dimensional statistics and Inference for the New Generation, The Abdus Salam International Centre for Theoretical Physics, online due to Covid-19.
Discussant talk, Mathematical Methods of Modern Statistics 2, CIRM Luminy, online due to Covid-19.
Young Data Science Researchers Seminar, Swiss Federal Institute of Technology in Zurich (ETH Zurich), online due to Covid-19.
Mathematics of Data Science program, Society for Industrial and Applied Mathematics, online due to Covid-19.
2019
Seminar, Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata.
Statistics Seminar, University of Minnesota.
Seminar in Econometrics, Harvard and MIT.
Job talks: Department of Statistics and Data Science Seminar, Yale University. Department of Statistics and Data Science Seminar, Carnegie Mellon University. Statistics Seminar, University of Wisconsin-Madison. Statistics Seminar, Columbia University. Econometrics and Statistics Colloquium, The University of Chicago Booth School of Business. Statistics Seminar, University of Chicago. Statistics Seminar, Harvard University. ORFE Seminar, Princeton University. Statistics Seminar, Rutgers University. Statistics Seminar, The University of North Carolina at Chapel Hill. Statistics Seminar, North Carolina State University. Seminar, Decision Sciences Area, Duke Fuqua School of Business. Statistics Seminar, Center for Data Science, New York University. Statistics Seminar, The Wharton School at the University of Pennsylvania. Statistics Seminar, University of Michigan. Statistics Seminar, USC Marshall. Frontiers in Computing and Mathematical Sciences, California Institute of Technology. Statistics Seminar, University of Illinois at Urbana-Champaign. Seminar, Department of Mathematics, GaTech. ISyE Seminar, GaTech.
2018
Job talks: Statistics Seminar, UCLA. Statistics Seminar, Cornell University. Department of Mathematics Colloquium, UC San Diego.
Workshop in Biostatistics, Stanford University.
Workshop on Robust and High-Dimensional Statistics, Simons Institute for the Theory of Computing, UC Berkeley.
Statistics Seminar, H. Milton Stewart School of Industrial and Systems Engineering, GaTech.
Workshop on Algorithmic Challenges in Protecting Privacy for Biomedical Data, Institute for Pure and Applied Mathematics, UCLA.
Prior to 2018
(2014) Prasanta Chandra Mahalanobis Memorial Lecture, Indian Statistical Institute, Kolkata, India.
(2012) D.Basu Memorial Lecture, Indian Statistical Institute, Kolkata, India.