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sunkalpchandra/README.md

hey, i'm sunkalp 🤘

cs honors & neuroscience @ ut austin
i build AI that reads, models, and repairs the brain

reteenascholarlinkedinemail


now

  • research fellow & venture scout @ contrary
  • co-founder @ reteena — applied AI lab for neurodegenerative diagnostics: remembrance (AI reminiscence-therapy companion for alzheimer's patients), TRIDENT (an adaptive brain-computer interface), lark (stakeholder-aware multi-agent decision making), geneattentionnet (interpretable gene-expression classification)
  • founding @ xyla engineering — deployable biofactories for maritime environments

previously

  • software engineer intern @ nvidia — holoscan team
  • software engineering intern @ pure storage — EHR latency prediction & infrastructure telemetry modeling
  • researcher @ harvard medical school + mass general — ophthalmic foundation models & AI-guided surgical systems
  • research intern @ memorial sloan kettering — stage-specific molecular network rewiring & graph representation learning
  • software developer & researcher @ princeton — drosophila connectome mapping & computational neural circuit analysis
  • researcher @ columbia (bme/neuro) — neural encoding of visual information & working memory dynamics
  • cohort 1.0 @ fr8 · f.inc off season · the residency

building

project what it is
neuroforge browser-native CAD for neural circuits — draw a circuit, watch it spike. five membrane models, real synaptic kinetics, GPU rendering. live demo
tribe-explorer visual analytics for the latent spaces of neural foundation models — latent geometry, neural timelines, cross-subject alignment
neural-morphogen-operators learning continuous reaction-diffusion dynamics from spatial transcriptomics
gauge-neural-dynamics do biological neural representations use context-dependent coordinate systems? trying to find out

tribe-explorer — a recording as a latent trajectory through decoder state space tribe-explorer — latent space of TRIBE v2

publications

  • Lark: Biologically Inspired Neuroevolution for Multi-Stakeholder LLM Agents — NeurIPS workshop, 2025 · arXiv:2510.16978
  • NeuroLoom: A Framework for Reproducible Cortical Microcircuit Modeling with Spiking Neural Networks — ICLR FM4Science workshop · code
  • the rest are on google scholar

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