Recent & Upcoming Talks

2024

Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models

We conducted the most comprehensive transfer learning study for protein language models to date and found that scaling pretraining does NOT scale downstream task performance, except for structure prediction

Jul 25, 2024 11:30 AM — 1:00 PM Messe Wien Exhibition Congress Center

Francesca-Zhoufan Li, Ava P. Amini, Yisong Yue, Kevin K. Yang, Alex X. Lu

Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models

Generative and Experimental Perspectives for Biomolecular Design

Co-organize The Generative and Experimental Perspectives for Biomolecular Design (GEM) workshop at ICLR 2024 to foster collaboration between machine learning experts and experimental scientists.

May 11, 2024 8:50 AM — 5:00 PM Vienna, Austria

Chenghao Liu, Jarrid Rector-Brooks, Jason Yim, Soojung Yang, Sidney Lisanza, Francesca-Zhoufan Li, Pranam Chatterjee, Tommi Jaakkola, Regina Barzilay, David Baker, Frances Arnold, Yoshua Bengio

Generative and Experimental Perspectives for Biomolecular Design

2023

Leveraging Sequence and Structure for Machine Learning-Assisted Protein Engineering

A poster presentation on multi-modal representation learning for predicting top protein fitness from combinatorial and random mutagenesis libraries

May 23, 2023 10:30 AM — May 25, 2023 4:00 PM Oakland Marriott

Francesca-Zhoufan Li, Jason Yang, Kadina Johnston, Yisong Yue, Frances Arnold

2022

Pretrained protein language model transfer learning: is the final layer representation what we want?

A video abstract on Pretrained protein language model transfer learning: is the final layer representation what we want?

Dec 3, 2022 9:00 AM — 3:00 PM The New Orleans Convention Center

Francesca-Zhoufan Li, Ava P. Amini, Kevin K. Yang, Alex X. Lu