Talks and Poster Presentations

Talks

1. Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow

   1. World Congress in Probability and Statistics, Bochum, Germany, Aug 2024

2. Owner-Assisted Mechanisms for Exponential Family Estimation

   1. ICSA Applied Statistics Symposium, Ann Arbor, MI, Jun 2023

3. Inference and Uncertainty Quantification for Low Rank Models

   1. Department Seminar, New York University Stern School of Business, Feb 2023

   2. Econometrics and Statistics Workshop, University of Chicago Booth School of Business, Feb 2023

   3. Department Seminar, Department of Statistics, Rutgers University, Jan 2023

   4. Department Seminar, Department of Statistics, University of Wisconsin-Madison, Jan 2023

   5. Department Seminar, Department of Statistics, UC Davis, Jan 2023

   6. Young Data Science Researcher Seminar, ETH Zurich, Dec 2022

   7. Department Seminar, Department of Data Science and Operations, USC Marshall School of Business, Dec 2022

   8. Department Colloquia, Department of Mathematics, University of Maryland, Nov 2022

4. Model-based Reinforcement Learning for Offline Zero-Sum Markov Games

   1. INFORMS Annual Meeting, Indianapolis, IN, Oct 2022

   2. ORIE Young Researchers Workshop, Cornell University, Oct 2022

5. Inference for Heteroskedastic PCA with Missing Data

   1. CMStatistics, King's College London, Dec 2022

   2. Lunch Seminar, Department of Statistics, Harvard University, Oct 2022

   3. INFORMS Annual Meeting, Indianapolis, IN, Oct 2022

   4. Joint Statistical Meeting, Washington DC, Aug 2022

   5. Department Seminar, Department of Statistics and Applied Probability, UC Santa Barbara, Mar 2022

6. Bridging convex and nonconvex optimization in robust PCA: Noise, outliers, and missing data

   1. INFORMS Optimization Society Meeting, Greenville, SC, Mar 2022

   2. Two Sigma Ph.D. Research Symposium, online, Dec 2020

   3. INFORMS Annual Meeting, online, Nov 2020

   4. ORFE graduate student seminar, Princeton University, Oct 2020

Poster Presentation

1. Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow

   1. Conference on Statistical Foundations of Data Science and their Applications, Princeton University, May 2023

   2. Conference on Recent Advances in Statistics and Data Science, Rutgers University, May 2023 (Gold Medal Award)

2. Inference for Heteroskedastic PCA with Missing Data

   1. ONR Program Review Meeting, Stanford University, Apr 2023

   2. Workshop on Statistics in the Big Data Era, Simons Institute for the Theory of Computing, UC Berkeley, Jun 2022 (Best Poster Award)

   3. Conference on New Advances in Statistics and Data Science Conference, Honolulu, Hawaii, May 2022 (Best Poster Award)

   4. Conference on Advances in Bayesian and Frequentist Theory and Methods, Department of Statistics, Rutgers University, Apr 2022

   5. The Workshop on Perspectives in Statistical Modeling and Inference, The Wharton School, University of Pennsylvania, Dec 2021

   6. ORIE Young Researchers Workshop, Cornell University, Oct 2021

3. Inference and uncertainty quantification for noisy matrix completion

   1. ONR Program Review Meeting, Duke University, Oct 2019

4. Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

   1. The Fourth Workshop on Higher-Order Asymptotics and Post-Selection Inference, Washington University in St. Louis, Aug 2019.