BMDS 272 Healthcare Acceleration: Artificial Intelligence
Stanford graduate course open to students from the Schools of Engineering or Medicine with lectures on AI methods relevant to healthcare, and projects focussed on solving current clinical challenges in the Stanford hospital ecosystem in partnership with Anesthesiology, ER, Hematology, Cardiology, Ophthalmology etc.
- Fall 2025
BME 205 Bioinformatics Models and Algorithms
University of California, Santa Cruz required graduate course covering key areas of computational biology from stochastics (Monte Carlo Methods and Markov Chains), to structure reconstruction (EDMs, MDS), to clustering, dimensionality reduction, trees, and supervised learning.
- Fall 2024
BME 110 Computational Biology Tools
University of California, Santa Cruz undergraduate course introducing computational biology algorithms and tools following the central dogma from sequence alignment algorithms, to data mining large cohorts of genomes, to phylogenetics, gene expression analysis, and protein folding and structure comparisons.
- Winter 2025
- Winter 2024
BIODS 295 Generative AI in Healthcare
Stanford graduate course on generative artificial intelligence (AI), and its applications in the healthcare domain.
BIODS 201 / BIOMEDIN 201 Biomedical Data Science Seminar
Stanford Medical School graduate seminar on topics in biomedical informatics.
- Summer 2023
CME 271 Computational & Mathematical Engineering, Analytics Accelerator
Stanford Engineering graduate course focusing on computational projects in precision medicine.
- Winter 2022
- Winter 2021 [course website]
XCME 011 Computational & Mathematical Engineering, Intro to Deep Learning
Stanford summer workshop on neural networks for professionals and graduate students.
- 2019 [syllabus]
- 2018 [course page]
- 2017 [syllabus]
Intermediate Topics in Deep Learning (Comp. & Math Engineering, summer)
Stanford summer workshop on deep learning for professionals and graduate students.
- 2021 [syllabus]
CME 250 Comp. & Math Engineering, Introduction to Machine Learning
Stanford Engineering course that I developed and taught (or co-taught) five times in Computational and Mathematical Engineering (CME).
- Spring 2016 [course website]
- Winter 2016 [course website]
- Fall 2015 [course website]
- Spring 2015 [course website]
- Winter 2015 [course website]
Invited Workshops
2018: Fundamentals of Data Science ICME @ Santiago
Pontificia Universidad Católica de Chile (UC), Santiago, Chile [course website]
2015: Machine Learning Workshop
Society of Industrial & Applied Math (SIAM) Conference [workshop website]