Welcome!
My name is Jacob. I have 5 years of research experience, and I am interested in Quantum Computing and 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 processing physical signals and the implementation of these solutions in low-level hardware. Recent highlights include dynamic Bayesian Inference of physical system models, physics-inspired source separation of noisy signals, and implementation of these methods in a low-latency, multi-threaded embedded edge system.
I am currently 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 5 years of experience in academia and industry, I have developed a passion for connecting fundamental physical principles with advanced software for scientific research, including data-driven computational techniques in AI/ML, and hardware-software systems.​
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I am interested in two major directions:
1) Developing AI with interpretable physical intuition to help scientists obtain insights from complex data and solve physically-motivated problems
2) Realizing new computational paradigms (e.g. Quantum Computing) for fundamental science and industry applications
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 (2025).
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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], Accepted to Journal of Chemical Physics (2025).
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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).