Courses taken at UC Berkeley
2019
- PB HLTH 290: Targeted Learning with Biomedical Big Data with Mark Van der Laan
- Final Project Proposal on Overleaf
2018
- CMPBIO 293 Doctoral Seminar in Computational Biology (Spring) with Nir Yosef
- CMPBIO 293 Doctoral Seminar in Computational Biology (Fall) with Priya Moorjani & Daniel Rokhsar
- [Presentation](/slides/Comp Bio C293_ Genetic uniqueness in humans.pdf)
- STAT 210A Theoretical Statistics with Will Fithian
- STAT 215B Statistical Models: Theory and Application with Jon Mcauliffe
- Final Project not public
- STAT 248 Analysis of Time Series with David Brillinger
- CS 298A Introduction to Machine Learning with Jennifer Listgarten and Anant Sahai
- [Final Project] ( /project/cs289/)
- CS 294 Machine Learning and Statistics Meet Biology with Jennifer Listgarten
- [Presentation](/slides/CS294-150 Slides.pdf)
- Final Project report. Code not yet public.
2017
- STAT 215A Statistical Models: Theory and Application with Bin Yu
- STAT 243 Introduction to Statistical Computing with Christopher Paciorek
- STAT C245D Biostatistical Methods: Computational Statistics with Applications in Biology and Medicine II with Sandrine Dudoit
- Final Project not yet public
- STAT C245F Statistical Genomics with Sandrine Dudoit
- BIOENG 241 Probabilistic Modeling in Computational Biology with Ian Holmes