Welcome!
My name is Jacob. I have 4.5 years of research experience, and I am interested in exploring connections between in Physics and AI/ML.
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I am currently a Research Scientist at Delsys, Inc., where I lead the development of novel AI algorithms for precision physiological metrology, including dynamic Bayesian Inference of physical system models, and physics-inspired source separation of measured signals.
I am currently applying to PhD Programs and am revamping my site, so please check back in soon for more details and content!
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Jacob Sage Vietorisz
Research and work Interests
Through my 4.5 years of research experience in academia and industry, I have developed a passion for connecting fundamental physical principles with advanced, data-driven computational techniques in AI/ML.​
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I am interested in two major directions:
1) How can we develop AI with interpretable physical intuition to help scientists obtain insights from complex data?
2) How can we use physical frameworks to explain learning dynamics and emergent intelligence in AI and other complex systems?
Education
Brown University
Providence, RI | September 2019 - May 2023
Sc.B. in Physics with Honors | A.B. in English
Publications
Vietorisz, J.S., Chiodini, J., Kline, J.C. A time-evolving sparse Bayesian inference framework for motion-robust PPG-based vital sign estimation [research paper], currently writing (2024).
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Drachman, N., Vietorisz, J.S., Winchester, A., Vest, R., Cooksey, G., Pookpanratana, S., Stein, D. Photolysis of the peptide bond at 193 nm and 222 nm [research paper], recently submitted to Journal of Chemical Physics (2024).
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Stein, D. M., Vietorisz, J. S., and Drachman, N. Systems and methods for analysis of peptide photodissociation for single-molecule protein sequencing. U.S. Patent US-20240361331-A1. (2024).
Drachman, N., Vietorisz, J.S., and Stein, D.M. UV photofragmentation of peptides for single molecule protein sequencing by mass spectrometry [conference session], Conference on Single-Molecule Protein Sequencing (SMPS3), Delft University of Technology, Delft, Netherlands (2022).
Vietorisz, J.S., Drachman, Nicholas, and Stein, D. M. An Analysis of Peptide Photofragmentation for Single-Molecule Protein Sequencing [poster presentation]. (2022, August 4-5). Summer Research Symposium, Brown Digital Repository, Brown University Library, Providence, RI. https://doi.org/10.26300/m7pz-9050​
Vietorisz, J.S., Drachman, N., and Stein, D.M., Analysis of peptide photofragmentation for single-molecule protein sequencing [research paper]. Submitted to iScience (2021).