The work · papers · tools · talks

Arkash Jain.

AI researcher (Harvard) and forward-deployed engineer at Benmore — three published papers including SpatialDINO (3D self-supervised vision transformer for live-cell microscopy), and the toolkit that makes SMB AI consulting compound.

AI ResearcherForward DeployedDistributed Systems3D VisionStripeOpen Source
3Papers
Harvard + BUEducation
6+ YearsTech Experience
3D SSLPioneer
This Week

Weekly updates

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GitHub

Live activity

Refreshed straight from the source.

Public commit cadence plus a private snapshot from a personal commit-graph tool.

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Contribution graph · last 12 months

@ArkashJ GitHub contribution graph (last 12 months)

Snapshot · ~April 14, 2026

  • 30d commits624
  • 7d commits186
  • Active days28
  • Raw lines823,824
  • Adj output520,582

Aggregated across public + private repos.

Commit-tracker · 60d

Personal GitHub commit-tracker showing 624 commits in 30 days, 186 in the last 7
The Arc

Physics → VC → Distributed Systems → Harvard AI → Building

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I came to Boston from India in 2020. NSF UROP scholar in chemical physics, two stints at Battery Ventures, distributed-systems research at BU, then Harvard's Kirchhausen Lab to build SpatialDINO. Now Head of FDE at Benmore.

Papers

3

Classes Deep-Dived

9

Repos

25+

Research

3 published papers

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BioRxiv2025

SpatialDINO: Self-Supervised Learning for 3D Vision Transformers

Arkash Jain et al. (Kirchhausen Lab, Harvard Medical School)

A 3D self-supervised vision transformer for label-free segmentation and tracking of subcellular dynamics in lattice light-sheet microscopy (LLSM). Beat a prior approach co-led by Nobel laureate Eric Betzig on downstream subcellular structure prediction.

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Journal of Cell Biology2026

Close-up of Vesicular ER Exit Sites by Volume Electron Imaging using FIB-SEM

Kirchhausen Lab

Volumetric reconstruction of mammalian ER exit sites at unprecedented resolution via FIB-SEM and learned segmentation.

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Journal of Chemical PhysicsNov 2022

Ultrafast 2DIR comparison of rotational energy transfer, isolated binary collision breakdown, and near critical fluctuations in Xe and SF6 solutions

Arkash Jain et al.

First-author work on supercritical-fluid dynamics using ultrafast two-dimensional infrared spectroscopy.

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Coursework

BU CS, Math & PL — by class

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Projects

Selected work

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Arkash Jain — AI Researcher, Forward Deployed Engineer & Builder