Ankit Parekh
Associate Professor
New York, New York, United States
Summary
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Senior🎓
Top SchoolAnkit Parekh is an applied mathematician and Associate Professor at the Icahn School of Medicine at Mount Sinai with nine years of experience using AI and big-data methods to study sleep disorders and their downstream health consequences. Trained at NYU with a PhD in Mathematics, he bridges signal and image processing, convex optimization, and computational neuroscience to develop quantitative tools for clinical research. His work translates advanced theoretical techniques into practical analyses for pulmonary, critical care, and sleep medicine, often combining electrophysiology with large-scale data modeling. Known for an interdisciplinary approach, he leverages mathematical rigor to unravel clinically relevant patterns in sleep physiology that are not obvious from standard diagnostics. Based in New York, he maintains an academic profile that emphasizes both methodological innovation and real-world impact on patient-centered outcomes.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at New York University
Github Skills (6)
detector9
sparse7
optimization5
denoising5
arxiv4
matrix2
Programming languages (1)
Github contributions (5)
aparek/mcsleep
Jan 2017 - May 2020
Multichannel Sleep Spindle Detector for sleep EEG
Contributions:73 commits, 8 PRs, 52 pushes in 3 years 4 months
detectoreegmultichannel
aparek/detoks
Feb 2017 - May 2020
Detection of K-complexes and Sleep Spindles (DETOKS) using Sparse Optimization for sleep EEG
Contributions:21 commits, 8 PRs, 15 pushes in 3 years 4 months
complexesoptimizationsparsesleep-spindleseeg
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