Teaching
Yale University
Survey of statistical methods: plots, transformations, regression, analysis of variance, clustering, principal components, contingency tables, and time series analysis. The R computing language and web data sources are used.
Fall 2024: Teaching Fellow
Fundamental principles and techniques of probabilistic thinking, statistical modeling, and data analysis. Essentials of probability, including conditional probability, random variables, distributions, law of large numbers, central limit theorem, and Markov chains. Statistical inference with emphasis on the Bayesian approach: parameter estimation, likelihood, prior and posterior distributions, Bayesian inference using Markov chain Monte Carlo. Introduction to regression and linear models.
Fall 2023: Teaching Fellow
Shanghai Jiao Tong University
The course primarily covers metabolic processes, spanning a diverse range of topics such as sugar metabolism, photosynthesis, protein metabolism, lipid metabolism, and amino acid metabolism.