Keating Lab

Amy E. Keating

Amy E. Keating

Professor of Biology and Biological Engineering
  • B.A. Harvard (physics) 1992
  • Ph.D. UCLA (physical organic chemistry) 1998
  • Postdoctoral training with Peter S. Kim and Bruce Tidor, MIT
  • Joined MIT faculty in 2002

PhD Students

Lindsey Guan

Lindsey Guan

I'm working on computational methods for designing highly target-selective peptide binders, and I'm interested in interpretable machine learning.

Protein structure

Ellen Irving

Ellen Irving

I'm working on short linear motif binding focusing on the activation of the E3 ubiquitin ligase Itch.

Protein structure

Cora Wendlandt

Cora Wendlandt

Cyclotides are small, cyclic plant proteins renowned for their exceptional stability against heat, pH, and proteolysis. My project aims to enhance cyclotide yeast surface display through integrated computational tools to streamline binder discovery, affinity maturation, and developability optimization.

Protein structure

Foster Birnbaum

Foster Birnbaum

I develop machine learning models for protein design. I work on models that learn sequence-energy landscapes conditioned on protein structure and use the learned energy landscapes to design novel protein sequences and predict the effects of mutations.

Protein structure

Haley Goodwin

Haley Goodwin

I am working on peptide binder prediction and design.


Jessie Gan

Jessie Gan

I am working on computational models for peptide binder design.

Protein structure

Postdoctoral Scientists

Joel Sexton

Joel Sexton

I study domain peptide-peptide interactions using photoactivatable cross linkers that label binding site motifs.

Protein structure

Jackson Halpin

Jackson Halpin

I build computational peptide-design approaches to generate inhibitors of challenging protein–protein interfaces. A key theme in my research is engineering conformationally pre-organized peptides that bind more tightly to target proteins.

Protein structure

Sergei Kotelnikov

Sergei Kotelnikov

I develop computational methods for structural modeling of proteins and their interactions. In particular, I aim to enrich methodology with machine learning models that incorporate prior physical and geometric knowledge of the problem.

Protein structure


Lab Alumni

Ph.D. Alumni
M.S. Alumni
Postdoctoral Scientists
Undergraduate Research (UROP)
MIT Summer Research Program (MSRP)

* Student who returned to the lab for a longer stay after the MSRP summer program

HHMI/MIT Visiting Students
Visiting Students
Technical Associates