Scholar
Sei Chang
Google Scholar ID: OsuJU40AAAAJ
Columbia University
Citations & Impact
Citations
107
H-index
4
i10-index
3
Publications
6
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations' (January 2025) and 'CellFlows: Inferring Splicing Kinetics from Latent and Mechanistic Cellular Dynamics' (July 2024, ICML'24 Workshop ML for Life and Material Science). Also involved in other research projects such as a comprehensive benchmarking of WGS-based deletion structural variant callers (2022, Briefings in Bioinformatics).
Research Experience
- Currently a PhD candidate at the New York Genome Center, focusing on using AI methods to derive biological insights from multiomics data.
Education
- PhD in Computer Science, expected 2027, Columbia University, advised by David A. Knowles; MS in Computer Science, 2024, Columbia University; BS in Computer Science, 2022, University of California, Los Angeles.
Background
- Research interests include deep learning, generative modeling, single-cell dynamics, and alternative splicing. Focused on applying deep learning and generative models to study single-cell dynamics and alternative splicing mechanisms in neurodegenerative diseases.
Co-authors