ASSISTANT PROFESSOR AT WARWICK CS
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 COMP64101 - Reasoning and Learning under Uncertainty, w/ profs. Alvarez and Strungaru (slides)
Fall COMP30040 - Third Year Project Laboratory
Spring COMP64202 - Reinforcement Learning, w/ prof. Pan
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
Research Strategies [1, 2] Suggested by Profs. Littlewood and Mac Lane to Scientists of all Levels
A Poem by Prof. Moffatt on the Importance of Taking a Break
Do Not Despair When Your Favorite Course is Over!
An Interesting Reflection on Grading by the Late Prof. MacKay
PhD Students and Postdocs Supervised
Fanyi Wu (Conformal Prediction, co-advised with Prof. Sami Kaski)
Zihan Yu (Optimal Transport, co-advised with Prof. Sami Kaski)
Amr Mousa (Reinforcement Learning, co-advised with Prof. Richard Allmendinger)
Raghad Alamri (Bias/Variance Decomposition, co-advised with Prof. Gavin Brown)
I was shortlisted as PGR Supervisor of the Year 2025/26 of The University of Manchester.
Some ideas about being a graduate student that I share with Prof. Ravi Vakil.