Yashvir Sabharwal
Sophomore at Harvard studying neuroscience and computer science. I build foundation models for medicine, molecules, and the brain. Currently doing clinical AI at the Mahmood Lab and intracortical BCIs on Utah arrays at BrainGate (MGH); before that NIH, Stability AI, and Alljoined.
work
- 2026 –
BrainGate, Massachusetts General Hospital
Intracortical brain-computer interfaces on Utah microelectrode arrays: self-supervised learning on neural recordings, long-horizon calibration and decoder generalization, and BCI-driven computer use.
- 2026 –
Mahmood Lab, Harvard Medical School / MGH
AI for clinical medicine: multimodal clinical reasoning, clinical trial prediction and patient matching, and large-scale clinical data collection. Part of the lab's push around Apollo, a multimodal temporal foundation model trained on 25B records from 7.2M patients, toward models that reason over a patient's full history.
- 2026
NIH, NINDS Computational Structural Biology
ML surrogate for lipid-bilayer deformation, ~104× faster than the molecular dynamics it replaces. Membrane-protein pipeline run over experimental and AlphaFold structures. Best poster, NIH Summer Poster Day.
- 2026
AI Safety Student Team, Harvard
Technical AI safety fellow: scaling laws, RLHF, interpretability, scalable oversight.
- 2024 – 25
Alljoined, San Francisco
Co-built Alljoined1, an open 64-channel EEG-to-image dataset (46,080 epochs, 10,000 natural images). Timing, alignment, and QC pipelines for generative EEG decoding.
- 2023 – 24
Stability AI / MedARC
fMRI foundation models: spatiotemporal masked autoencoders on 2.1K hours of flat-map fMRI, and the first scaling-law analysis for fMRI (it follows a power law). Contributed to MindEye.
- 2023 –
International Research Olympiad, co-founder
Research competition reaching 20,000+ students in 90 countries. 80-person team.
papers
- 2026
Lipid environment preferences encoded in membrane protein structure
Yashvir Sabharwal, G. Fiorin, A. A. Aleksandrova, L. R. Forrest
under review
- 2025
Scaling vision transformers for functional MRI with flat maps
C. Lane, D. Z. Kaplan, T. M. Abraham, P. S. Scotti, et al.
arXiv 2510.13768
- 2024
Yashvir Sabharwal, B. Rama
IntelliSys 2025
- 2024
Alljoined1: a dataset for EEG-to-image decoding
J. Xu, B. Aristimunha, M. E. Feucht, …, Yashvir Sabharwal, …, A. Nestor
CVPR 2024 DCAMI workshop
- 2023
Reconstructing the mind's eye: fMRI-to-image with contrastive learning and diffusion priors
P. S. Scotti, A. Banerjee, et al.
NeurIPS 2023 spotlight
- 2023
Yashvir Sabharwal
arXiv 2302.05830
talks
- 2026
NIH Summer Poster Day · best poster
- 2026
AAAI-26 Undergraduate Consortium · BrainSync: neural decoding with fMRI + EEG
- 2025
Royal Aeronautical Society · the future of drones
- 2024
CVPR DCAMI workshop · Alljoined1
honors
- Best Poster, NIH Summer Poster Day (2026)
- Z Fellow
- 3× Regeneron International Science & Engineering Fair (ISEF) Grand Award winner
- USA Biology Olympiad Honorable Mention & Semifinalist, top 50 open score (2024)
- National Junior Science & Humanities Symposium, grand finalist
- National STEM Challenge winner; declared “STEM Champion” by U.S. Dept. of Education
- Virginia State Science & Engineering Fair, 1st place
- Virginia Junior Academy of Science, 1st place
- American Cancer Society “Cancer Research Award”
- Published in NeurIPS, CVPR, AAAI, IEEE, IntelliSys, & Royal Aeronautical Society
Civil Air Patrol
- Cadet Lieutenant Colonel (top 1%)
- $142,500,000 in appropriations passed on Capitol Hill
- International Air Cadet Exchange, United Kingdom
- Specialized Undergraduate Pilot Training, Distinguished Graduate (#1 in class)
- Congressional Award Gold Medal
- VFW Officer of the Year
AFJROTC
- Global AFJROTC Cadet of the Year (2 of 85,000+)
- U.S. Air Force Flight Training Scholarship
- CyberPatriot #1 in Virginia, 2×
- VASSAR Top Cadet in Virginia
- VFW Top Cadet in Virginia
misc
- FAA private pilot (2024), on a $35K flight scholarship. Harvard and MIT flying clubs.
- Lowell House. Harvard OpenBio Lab, HUSAI, Startups @ Harvard, Bhangra, Kabaddi.
- Tools: PyTorch, molecular dynamics, AlphaFold, fMRI/EEG, Next.js.