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TEACHING

Teaching Assistant @ Duke

Fall 2019 & Spring 2020     STA 101 - Data Analysis and Statistical Inference, prof. C. W. Hilton

Spring 2021                        STA 240L - Probability for Statistical Inference, Modeling, and Data Analysis, prof. G. Reeves

Fall 2021                             STA 521L - Predictive Modeling and Statistical Learning, prof. Y. Chen

Fall 2024                             COMP64102 - Reasoning and Learning under Uncertainty, w/ profs. Alvarez and Rivasplata (slides)

Fall 2024                             COMP30040 - Third Year Project Laboratory

Guest Lecture                     COMP34312 - Mathematical Topics in Machine Learning, w/ profs. Brown and Mukherjee (folder)            

Main Instructor @ The University of Manchester

Great Advice to Students of all Levels in STEM by Prof. Chatterjee

A Reflection by Prof. Kosorok on the Future of Statistics and Probability

PhD Students and Postdocs Supervised

Fanyi Wu (Conformal Prediction)

Raghad Alamri (Bias/Variance Decomposition)

Amr Mousa (Reinforcement Learning)

Roubing Tang (Bayesian Experimental Design)

Gokula Karthik Arumugam (Causal Inference)

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