Scholar
Nishad Gothoskar
Google Scholar ID: RikRyq4AAAAJ
3D Vision
Citations & Impact
Citations
437
H-index
10
i10-index
10
Publications
20
Co-authors
5
list available
Contact
Resume (English only)
Academic Achievements
- Published several papers including 'Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes', '3DP3: 3D Scene Perception via Probabilistic Programs', 'Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps', 'DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model'.
Research Experience
- SWE Intern at Google (2016), Software Engineer at Uber ATG (2017-2018), Research Engineer at Vicarious AI (2018-2020), Graduate Student at MIT (2020-2025), Co-founder at Stealth Startup (2025-present).
Education
- PhD in Computer Science from MIT, advised by Vikash Mansinghka and Josh Tenenbaum, 2020-2025.
Background
- Currently at a stealth startup, working on using probabilistic programming to scale up 3D perception. The goal is to build AI vision systems that can learn as rapidly and generalize as broadly as humans.
