I graduated with a BS in Computer Science, BA in Biophysics, and BS in Applied Math and Statistics from Johns Hopkins University. At Hopkins, I was an undergraduate researcher with Doug Barrick and previously the-late James Taylor. I also worked in the Integrated Imaging Center as a cryo-EM research assistant under the supervision of Michael McCaffery. I spent a lot of my time in undergrad as a TA for Biophysical Chemistry and Protein Engineering & Biochemistry Lab.
I was previously a process development intern at Shire Pharmaceuticals (now Takeda Pharmaceuticals) and a software development intern at Senscio Systems.
When I'm not doing research, you can probably find me weightlifting, hiking, eating, or with friends!
Publications
An all-atom protein generative model
Alexander E. Chu, Lucy Cheng, , Minkai Xu, Po-Ssu Huang
bioRxiv '23 | bioRxiv
pdf
abstract
cite
Singular value decomposition of protein sequences as a method to visualize sequence and residue space
Autum R. Baxter-Koenigs*, , Doug Barrick
(* = Equal Contribution)
PS '22 | Protein Science
abstract
cite
Recorded Talks
Machine Learning for Protein Engineering
Talked about SVD for visualizing sequence and residue space.
Virtual Talk
video
abstract
Selected Awards
NSF Graduate Research Fellowship
2022 | Stanford University
Institute for Data Intensive Engineering and Science (IDIES) Student Summer Research Fellowship
2020 | Johns Hopkins University
Woodrow Wilson Research Fellowship
2018 | Johns Hopkins University