Reading and Research in Computational Biology

General Information

  • Time: Mondays, 3:30-4:50 pm (first meeting is on 1/9)

  • Location: Bill & Melinda Gates Center (CSE2) 271

  • Credit: 1-3 Variable

  • Grading: Credit/No Credit. Talk to the instructors if you are unsure of our expectations.

  • Email list: Course-related announcements:


CSE 590C is a weekly seminar on Readings and Research in Computational Biology, open to all graduate students in computational, biological, and mathematical sciences.


Single-cell data science, with discussions on state-of-the-art machine learning/statistical techniques for analyzing single-cell datasets, including recent advancements in multi-modal and spatial dataset analysis.

Sequence-to-function models and approaches (Seq2Func) for learning regulatory syntax and networks across cells and tissue types. Models applicable to single-modality and multi-modality learning from single-cell data also fall within this theme.