Teaching BIO397 - Applied Machine Learning block course, 2019-2021.
I deliver lectures and exercises for Julia programming language, linear algebra, multivariate calculus, machine learning, neural networks, and evaluation and improvement of machine learning models. I teach students with no previous knowledge of machine learning to design and perform complete machine learning workflows.
Lecture at reproducible research workshop, EAWAG, 2018, Kastanienbaum, Switzerland.
I gave a lecture and hands-on tutorial about using Git version control system and collaboration using Github. (Teaching material here)
Teaching Assistant, Introduction to Bioinformatics, UZH, 2013.
As part of a team, tutored about 30 students in the Evolutionary Biology and Environmental Studies programs to help them solve their programming questions in Python.
Teaching Assistant, Principles of Evolution, UZH, 2013.
I prepared teaching material for R programming and delivered two lectures on Modeling Population Genetic Simulation of Natural Selection and Drift Processes. Moreover, I fielded questions from students on lecture topics.