Jacob Schwartz

Research Lab Specialist

Department of Biological Chemistry


Jacob Schwartz


Ann Arbor, MI 48109



M.S. in Bioinformatics, concentration in protein modeling, University of Michigan (2021) 

B.S.E. in Biomedical Engineering, concentration in bioelectrics, magna cum laude, University of Michigan (2020)

Research Interests

My main research interest is the development of structural bioinformatics methods for clinical applications. Specifically, my current work is focused on deep learning for protein quaternary structure prediction and protein-protein interaction prediction.

Professional History

January 2022 - Present: Research Specialist

Peter Freddolino Lab, University of Michigan

2021: Masters Student Researcher

Peter Freddolino Lab and Yang Zhang Lab, University of Michigan

2020-2021: Graduate Student Instructor

University of Michigan

Fall 2021: ENGR 101 (Introduction to Computers & Programming)

Fall 2020 and Winter 2021: BME 419 (Quantitative Physiology)

Spring 2020: Biology 171 (Introductory Biology, Ecology & Evolution)

2018-2019: Undergraduate Researcher

Peripheral Neural Engineering and Urodynamics Lab (PI: Tim Bruns), University of Michigan

2017-2018: Research Assistant

Pediatric Anesthesiology (PI: Terri Voepel-Lewis), University of Michigan

Selected Publications

Bell, EW; Schwartz, JH; Freddolino, PL; Zhang, Y. “PEPPI: Whole-proteome protein-protein interaction prediction through structure and sequence similarity, functional association, and machine learning” (2022). Journal of Molecular Biology. doi:10.1016/j.jmb.2022.167530

Voepel-Lewis, T; Malviya, S; Grant, JA; Dwyer, S; Becher, A; Schwartz, JH; Tait, AR. “Effect of a brief scenario-tailored educational program on parents' risk knowledge, perceptions, and decisions to administer prescribed opioids: a randomized controlled trial” (2021). PAIN. doi:10.1097/j.pain.0000000000002095

Ouyang, Z; Barrera, N; Marcu, V; Socha, A; Schwartz, J; Sperry, Z; Bruns, TM. “Behavioral Monitoring and Neuromodulation of Feline Voiding Function.” Proceedings of 9th Intl IEEE EMBS Neural Engineering Conference, San Francisco, CA, March 20-23, 2019, 1058-1061.