Moses Bakst
Bio-Signals Engineering
- Role
- Research Scholar at Nyu Tandon School Of Engineering
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Moses Bakst
Every person wants to be healthy. Mental, muscular, aerobic, spiritual, energetic, cosmetic, balanced, gymnastic, systematic, health. Every person has their own unique path to health. Near nobody has the resources to find it. Using electronic sensors, algorithms, and personalized interfaces we can invent systems to help people feel better.
Experience
Research Scholar
Nyu Tandon School Of Engineering
Jun 2025 — Present · New York, NY, US
Research Scholar for the Computational Medicine Laboratory. Working on MATLAB code for blind system identification and deconvolution of sparse signals. https://wp.nyu.edu/cml/Updated the laboratory’s MATLAB codebase, implementing novel techniques in system identification literature and compressed sensing, improving an overnight routine 1,500x to run in real-time. Researched endogenous glucose dynamics to form a constrained physiological state-space model.Wrote highly compute and memory efficient libraries to construct the lifted input-output operators for any high sample, high state dimension, multi-input, multi-output state-space model.Compartmentalized nonconvex optimization functions to solve minimally required computations in a coordinate descent loop alternating between system identification and deconvolution.Implemented the FOCUSS algorithm, an iteratively reweighted least squares approach, and Generalized Cross Validation, to calculate regularization parameters, with sparse linear algebra techniques.Validated my system with rigorous mathematical proof, comprehensive instrumentation, comparisons to prior accepted results and coordination with peers to ensure alignment, in methodology and intentions.
Education
The Cooper Union for the Advancement of Science and Art
Electrical Engineering
University of Maryland
Bachelor of Science - BS, Electrical Engineering
New York University
Master of Science - MS, Electrical Engineering
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