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Lecture Schedule
Subject to change
- Date
-
- Lecture
-
- Speaker
- Info
- Feb 03
-
- Lecture 01 Logistics & AI basics
- Bonnie Berger
- Feb 05
-
- Lecture 02 GenAI Fundamentals
-
- Bonnie Berger
- PSET 0 Out
- Feb 10
-
- Lecture 03 Neural nets: under the hood
- Eric Alm
- Feb 12
-
- Lecture 04 Neural nets 2, Applications in biology
-
- Eric Alm
- PSET 0 Due PSET 1 Out
- Feb 17
- President’s Day
- Feb 19
-
- Lecture 05 SAEs and biological interpretability
- Onkar Gujral
- Feb 24
-
- No Class (weather)
-
- PSET 1 Due PSET 2 Out
- Feb 26
-
- Lecture 06 Variational Autoencoders (VAEs)
- Eric Alm
- Mar 03
-
- Lecture 07 Transformers
- Eric Alm
- Mar 05
-
- Lecture 08 LLMs for proteins I
- Bonnie Berger
- Mar 10
-
- Lecture 09 LLMs for proteins II
- Bonnie Berger
- Mar 12
-
- Lecture 10 CNNs for DNA
-
- Eric Alm
- PSET 2 Due PSET 3 Out
- Mar 17
-
- Lecture 11 GNNs for Chemistry
- Eric Alm
- Mar 19
-
- Lecture 12 GNNs for single cell genomics
- Bonnie Berger
- Mar 24
- Spring Break
- Mar 26
- Spring Break
- Mar 31
-
- Lecture 13 Diffusion Generative Models I
-
- Bowen Jing
- PSET 3 Due PSET 4 Out
- Apr 2
-
- Lecture 14 Diffusion Generative Models II
- Bowen Jing
- Apr 7
-
- Lecture 15 Protein Structure Prediction
- Eric Alm
- Apr 9
-
- Lecture 16 Protein Design
- Mihir Bafna
- Apr 14
-
- Lecture 17 Invited talk
- TBA
- Apr 16
-
- Lecture 18 Invited talk
-
- TBA
- PSET 4 Due
- Apr 21
-
- Lecture 19 Deep learning for epigenomics
- Ruochi Zhang
- Apr 23
-
- Lecture 20 MSA in the Era of PLMs
- Minh Hoang
- Apr 28
-
- Lecture 21 Invited talk
- TBA
- Apr 30
-
- Lecture 22 Invited talk
- TBA
- May 5
-
- Final Project Presentations
-
- Project Due
- May 7
- Final Project Presentations
- May 12
- Final Project Presentations