Harvard Biostatistics Courses
I have worked as a Teaching Assistant at the Harvard T.H. Chan School of Public Health for Statistical Learning, Data Science II (Deep Learning course), Introductory Genomics & Bioinformatics for Health Research, Applied Regression Analysis, and Practice and Culminating Experience for Quantitative Methods. These courses are available for students in several departments at the school, they cover a wide range of applied and theoretical statistics and machine learning content.
Data Science in Action: Machine Learning for Self-Driving Cars
Additionally, with the help of great collaborators and my advisor Tianxi Cai, we created the Data Science in Action: Machine Learning for Self-Driving Cars course, this is a 10-day course to introduce programming and machine learning to high school students. The culminating project is to program convolutional neural networks and implement them in a self driving toy car. We have taught this course two years in a row now (2019 & 2020).
Reinforcement Learning summer school
During the 2019 summer I taught a Reinforcement Learning summer school at the International Meeting of Artificial Intelligence and Its Applications, the biggest Artificial Intelligence conference in Mexico. We covered the basic concepts of reinforcement learning, Q-learning and programmed agents to play OpenAI basic environments.
Biostatistics and Epidemiology course
I participated in the Global Initiative for Neuropsychiatric Genetics Education in Research during 2020 winter, this is a one-week training course run in collaboration with NeuroMex in Mexico. The course is designed to introduce fundamental statistical and epidemiological concepts and R programming to clinical researchers performing GWAS studies in collaboration with the Broad institute of MIT & Harvard .
Artificial Intelligence
I also participated at Clubes de Ciencia Mexico where I paired up with an engineer to teach a course for Mexican undergraduate students on artificial intelligence and electrical engineering