Sei Chang

Sei Chang is a graduate researcher at the New York Genome Center, focused on deep generative modeling of splicing dynamics in single cells, with work presented at the ICML'24 Workshop on ML for Life and Material Sciences. Prior experience includes research in computational medicine at UCLA Health, where benchmarking was performed on error-correction methods and structural variant callers for whole genome sequencing, resulting in publications in Genome Biology and Briefings in Bioinformatics. Additionally, Sei has held internships at Parallel Systems, Illumina, and Yahoo, contributing to software development, algorithm design, and automation projects. Sei holds a Bachelor of Science in Computer Science from UCLA, and is currently pursuing a Master of Science and a Doctor of Philosophy in Computer Science at Columbia Engineering.