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8th percentile
MIT professor and MIT Innovators Under 35 honoree modeling human movement
Credibility
Technical Depth · 29th percentile
- Named on MIT Technology Review's Innovators Under 35 list for creating a unified model of human movement.
Relationship Matrix
Founder score
- 85%Probability of being accurate (85%)Identified researcher with an h-index of 9 and 547 citations across 38 works (OpenAlex).
- 80%Probability of being accurate (80%)Named on MIT Technology Review's Innovators Under 35 list for creating a unified model of human movement.
What you likely need
You're a deep-tech researcher at the lab-to-market inflection point, so the Festival events most valuable to you are the ones that put you in the room with The Engine portfolio founders, health-tech VCs who track the MIT Innovators Under 35 cohort, and medical device BD leads who are actively sourcing computational movement models. You also need peer density with other MIT and Stanford spinout founders who've navigated TLO licensing and non-dilutive NIH/NSF stacks, so you can compress years of trial-and-error into a single dinner.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- fundraisingA dinner with founders who've spun out of MIT via The Engine fund to pressure-test the TLO licensing and equity structure decisions you'll face forming a company around your unified human movement model
- fundraisingA roundtable with PIs and research-lab founders who've successfully closed NIH R01 and NSF CAREER grants in neuromotor AI to swap specific aim structures, program officer relationships, and review panel intel
- introsA dinner with BD and research partnership leads from Medtronic, Ekso Bionics, and Apple Health specifically sourcing computational movement models for rehabilitation pipelines, structured for sponsored research agreement conversations
- positioningA happy hour connecting MIT Technology Review Innovators Under 35 honorees with health-tech VCs from funds known to track that cohort — including those with HLTH and EmTech deal flow — for warm intros into deep-tech biorobotics raises
- tacticalA roundtable with researchers who've published in Nature Machine Intelligence and Science Robotics and driven citation velocity through open-sourced datasets, to map the exact release and promotion playbook for your lab's movement modeling code
- hiringA recruiting happy hour targeting ML and computer vision PhD students and postdocs from MIT, Harvard, and CMU who are evaluating lab placements, co-hosted with other deep-tech faculty hiring on similar timelines
- fundraisingA dinner of 8–10 founders who've navigated the academic-to-venture transition in computational biology, robotics, or neurotech — specifically those who've balanced tenure-track obligations with early company formation — to stress-test your spinout timing and structure