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Samuel Schmidgall

Google Scholar / LinkedIn / Twitter


Interests & Active Research Areas

Primary Research Areas

Medical AI

  • ⚕️ Medical language models

Robotics

  • 🧬 Autonomous surgery
  • 🦾 Deep imitation learning
  • 📷 Vision-based robotic manipulation
  • 🦑 Deep reinforcement learning for robotics

Biology & Computational Neuroscience

  • 🧠 Learning in brain organoids
  • ⚡ Neuromorphic computing & spiking neural networks
  • 🚂 Meta-learning with models of synaptic plasticity

Work Experience

  • Apr 2024 - Present: Research Intern @Stanford @Hiesinger Lab
  • May 2023 - Present: ECE PhD, NSF GRFP Fellow @JHU @AIEM
  • May 2019 - Apr 2024: Computer Scientist @NRL Space Robotics Lab
  • Feb 2023 - Nov 2023: Research Assistant @JHU @CAAT
  • May 2023 - Sept 2023: Research Affiliate @UCSC @NCG
  • Aug 2018 - May 2019 & Jan 2020 - Apr 2020: Research Assistant @GMU @MEGL
  • Jun 2018 - Feb 2019: Data Science Intern @Gartner
  • Mar 2017 - May 2018: Python Developer @AsymmetriQ

Samuel Schmidgall's Projects

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

es-onlinemetalearning icon es-onlinemetalearning

Evolutionary Strategies approach toward reward modulated online meta learning with plastic weights

evo icon evo

Evolutionary and gradient optimization library for rapid experimentation

gsvit icon gsvit

Code repository for paper: "General surgery vision transformer: A video pre-trained foundation model for general surgery"

medllmspracticalguide icon medllmspracticalguide

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

paperscan icon paperscan

Utility that enables the comparison of two papers based on semantics to validate or invalidate originality

pdrf icon pdrf

PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images

prismatic-vlms icon prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

rsl_rl icon rsl_rl

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

surgicalgym icon surgicalgym

High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning

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