Kushaan Sharma Kushaan Sharma

Research Fellow, NIH IRTA

National Institutes of Health, NIAAA · Laboratory for Integrative Neuroscience

Built a real-time sleep-scoring pipeline in Open Ephys that classifies EEG and EMG as it streams, across up to 16 animals at once. When the scorer calls NREM, the rig fires a TTL pulse and delivers optical stimulation, closing the loop between what the brain is doing and what the experiment does about it.

The surrounding infrastructure matters as much as the classifier: automated run logging, benchmark testing, and portable run folders, so a night of recording is reproducible rather than artisanal.

Machine Learning Research Intern, ML4H

The Broad Institute of MIT and Harvard

Building generative models that synthesize ECG waveforms, then evaluating the output on three fronts at once: whether it is clinically realistic, whether it protects the privacy of the patients it learned from, and whether it can genuinely expand a training set.

The longer-range question is whether synthetic cardiac signal is good enough to support patient digital-twin experiments.

Health Technician

U.S. Department of Veterans Affairs · San Francisco VA Health Care System

Generates high-quality structured hexahedral meshes from cardiovascular imaging data using TrueGrid, turning patient imaging into the structured geometry that computational simulation of blood flow and vessel mechanics requires.

Project Lead, Pu Laboratory

Boston Children's Hospital · Harvard Medical School

Wrote the computer-vision and MATLAB signal-processing tools that turn video of engineered heart tissue into numbers (contractility, bending, and pacing response), replacing manual frame-by-frame scoring. That code is the measurement layer in a Nature Protocols manuscript now under review.

Separately developed EKG processing methods to detect atrial fibrillation and track heart-tissue movement. The work earned a merit-based research stipend.

Project Lead, Virostko Laboratory

Dell Medical School and Oden Institute · UT Austin

Built a 3D MRI method that quantifies pancreatic fat as a function of distance from the organ surface, so fat distribution becomes a spatial measurement rather than a single whole-organ average. It supports studies of how that distribution shifts in diabetes and pancreatic cancer.

Manuscript in preparation; the method was submitted to the American Pancreatic Association.

Research Assistant, Nanoassembly Lab

Department of Biomedical Engineering · Cockrell School of Engineering, UT Austin

Analyzed how the N/P ratio affects the stability of DNA origami nanostructures, using qPCR degradation measurements to quantify how much intact structure survives under nuclease challenge. Listed on the resulting manuscript.

Data Coordinator

Perfect Pair · National Team · KushaanSharma@perfectpair.org

Maintains program data, organizes the key metrics, and surfaces the insights that strengthen outreach, operations, and impact measurement across the organization.

Currently supporting a campaign to raise $50,000 for senior citizens.

Chief Technology Officer

Revio · reviobeta.vercel.app

Building tooling that streamlines research paper preparation, formatting, and international publishing, so the mechanics of getting work published take less time away from the work itself.

Accepted to MIT Sandbox, MIT's innovation fund for student ventures.