Siddharth Patel

Machine Learning Research Fellow at Harvard Medical School and Massachusetts General Hospital

Greater Boston United States
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Summary

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Senior
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Top School
Siddharth Patel is a Machine Learning Research Fellow at MGH/HMS with eight years of experience applying time-series and sensor analytics to health tech problems in neurology and cardiovascular domains. He develops and validates digital biomarkers from wearable accelerometry and audio signals to sensitively detect and track disease progression, with work published in Nature Communications. Comfortable across research and production, he built a Plotly/Postgres dashboard for clinician-facing data exploration, an automated reporting framework, and a scalable pipeline that has tracked over 400 TB of sensor data. Previously he translated physiology into features and IP at MindMics (patented cardiac-event algorithm) and engineered antibody-structure ML features at Pfizer. Trained as a molecular biophysicist with deep computational tooling—Python, PyTorch, AWS and visualization stacks—he combines quantitative rigor with pragmatic engineering to move models into clinical workflows. Outside the lab he’s an avid photographer and travel planner, a detail that reflects his eye for data-driven storytelling and human-centered design.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Molecular Biophysics, Doctor of Philosophy - PhD, Molecular Biophysics at Indian Institute of Science (IISc)
bookMaster of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Savitribai Phule Pune University
bookBachelor of Science, Microbiology, Bachelor of Science, Microbiology at Ramnarain Ruia College
languagesEnglish, Hindi, Gujarati, Marathi
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Github Skills (7)

wearables10
data-synchronization9
neuroscience9
computer-vision8
python8
postgresql7
data-management6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Analysis layer for Neurobooth data. Common utilities for creating data slices and reading data files. Also contains useful preprocessing algorithms.
Contributions:1 review, 2 PRs, 7 pushes in 1 year 8 months
neurobooth/qc_reports

May 2022 - Jun 2025

Contributions:10 PRs, 25 pushes, 7 branches in 3 years 1 month
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