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 at Hopkins as a Teaching Assistant for Introductory Physics (AS.171.107/108), Biophysical Chemistry (AS.250.372), and Protein Engineering & Biochemistry Lab (AS.250.253).
I was previously a process development intern at Shire Pharmaceuticals (now Takeda Pharmaceuticals) and a software development intern at Senscio Systems.
In Fall 2023, I was also a Graduate Teaching Asistant for BIOPHYS 242: Biological Macromolecules. 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, Jinho Kim, Lucy Cheng, , Richard W. Shuai, Minkai Xu, Po-Ssu Huang.
PNAS '24 | Proceedings of the National Academy of Sciences
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Bispecific antibodies with broad neutralization potency against SARS-CoV-2 variants of concern.
Adonis A. Rubio, Viren A. Baharani, Bernadeta Dadonaite, Megan Parada, Morgan E. Abernathy, Zijun Wang, Yu E. Lee, Michael R. Eso, Jennie Phung, Israel Ramos, Teresia Chen, , Jesse D. Bloom, Paul D. Bieniasz, Michel C. Nussenzweig, Christopher O. Barnes.
bioRxiv '24 | bioRxiv
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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
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Recorded Talks
Machine Learning for Protein Engineering
Talked about SVD for visualizing sequence and residue space.
Virtual Talk
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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
Jason H.P. and Beverly Kravitt Fund Fellow
2019 | Johns Hopkins University
Woodrow Wilson Research Fellowship
2018 | Johns Hopkins University
Academic Service
Guest Editor
2024-Present | American Physical Society - PRX Life
Workshop Organizer + Reviewer
2023-Present | Machine Learning in Structural Biology (MLSB) @ NeurIPS
Workshop Reviewer
2024 | GEM.bio @ International Conference on Learning Representations (ICLR)
Workshop Proposal Committee
2024 | International Conference on Machine Learning (ICML)