Find 50 top-tier research scientists/researchers who have top-tier work in reinf…

completed70 qualified1 runMar 12, 8:33 PMrl-environments-researchers

Qualified Candidates (70)

Anant Rai

high hireability

Founding Research Engineer@1x Technologies

Previously: Graduate Research Assistant @ New York University

San Francisco, US

Anant Rai is a researcher at 1x Technologies (humanoid robotics) with IsaacLab contributions
Direct builder of humanoid robot RL simulation environments
Expertise in Isaac Lab environment design for bipedal locomotion

Andrej Orsula

high hireability

JPL Visiting Student Researcher@NASA

Previously: Software Engineer (Rust) @ Aivero

Pasadena, US

Andrej Orsula at NASA JPL contributed to Isaac Lab environments for space robotics
Expert in high-fidelity RL simulation environments for real-world robot deployment
Direct builder of production RL environments at NASA

Antonin Raffin

high hireability

Researcher@German Aerospace Center (DLR)

Previously: Research Engineer @ ENSTA ParisTech

Munich, DE

Antonin Raffin is the primary maintainer of Stable-Baselines3 (most-used RL library), RL Zoo3, and developed custom robotics RL environments at DLR
Research Engineer specializing in robot learning with RL environments
Active Gymnasium contributor. h-index 13

Brennan Shacklett

high hireability

Research Assistant@Stanford University

Previously: Research Associate @ Activision

San Francisco, US

Stanford (Koltun lab) researcher who built Madrona — a GPU-accelerated batch renderer + physics engine explicitly designed for massively parallel RL environment rollouts
Systems-level env infrastructure work, directly enabling fast RL training
Outstanding env-builder for early career
Bay Area

Cem Gokmen

high hireability

AI Research Scientist Intern@Meta

Previously: Research Scientist Intern @ NVIDIA

San Francisco, US

Stanford PhD who built BEHAVIOR-1K benchmark and OmniGibson sim platform (CoRL 2024)
Research explicitly listed as 'Robotics simulation'
Directly builds the simulation environments that RL agents train in — not just a user of RL
Hireability HIGH
Bay Area

Edouard Leurent

high hireability

Senior Research Scientist@DeepMind

Previously: PhD student @ Inria

Edouard Leurent created highway-env (one of the most widely-used autonomous driving RL environments on GitHub)
Senior Research Scientist at DeepMind
Expert in RL-for-control and planning environments. h-index 17
Directly creates RL training environments

Fanbo Xiang

high hireability

Senior Director, Robotics Simulation@Hillbot

Previously: Robotics Simulation Intern @ NVIDIA

San Diego, US

Fanbo Xiang created the SAPIEN physics simulator (the foundation for ManiSkill) and contributed to multiple RL manipulation environments
Research Scientist at Hillbot
Core builder of physics simulation infrastructure for RL. h-index significant

Ian Gemp

high hireability

Research Scientist@DeepMind

Previously: PhD in Machine Learning / Artificial Intelligence @ University of Massachusetts Amherst

London, GB

Ian Gemp is a Research Scientist at DeepMind working on game-theoretic RL and OpenSpiel
Expert in game-based RL environment design and multi-player RL systems
Key contributor to the OpenSpiel ecosystem. h-index notable from DeepMind work

Jacopo Panerati

high hireability

NRC-CNRC / Vector Institute

Jacopo Panerati created gym-pybullet-drones (widely-used multi-drone RL environment) and Gymnasium-compatible drone sim environments
Researcher at NRC-CNRC/Vector Institute
Direct creator of RL environments for multi-UAV systems
High-signal env builder

Jesse Farebrother

high hireability

Research Scientist Intern@Meta

Previously: Student Researcher @ DeepMind

San Francisco, US

Jesse Farebrother created the Arcade Learning Environment (ALE) extensions and Atari benchmark improvements
Major contributor to RL evaluation environments (17 Gymnasium commits)
PhD at Mila, ex-DeepMind, ex-Meta
Expert in RL benchmark design. h-index 8

Jiayuan Gu

high hireability

Assistant Professor@ShanghaiTech University

Previously: Research Intern @ Meta

Jiayuan Gu led ManiSkill2 development (one of the most advanced robotic manipulation benchmarks), now Assistant Professor at ShanghaiTech
Expert in embodied AI simulation environments. 61 ManiSkill commits. h-index 21
Top-tier RL env creator

Jie Yin

high hireability

Researcher@Sharpa Robotics

Previously: research intern @ MIT-IBM Watson Lab

Shanghai, CN

Jie Yin is a researcher at Sharpa Robotics with expertise in Isaac Lab environments
Contributed to IsaacLab — NVIDIA's production RL simulation platform
Direct builder of GPU-parallelized RL environments for robotics

Joey Hejna

high hireability

PhD student@Stanford University

Previously: Research Intern @ Physical Intelligence

Stanford PhD (Abbeel group) who built custom RL environments for morphology evolution research — procedurally generating robot bodies and corresponding simulation environments
Also contributed to PEARL and offline RL benchmarks. h_index 16 at PhD level is strong
Hireability HIGH
Bay Area

Joseph Suarez

high hireability

Principal Researcher@Puffer AI

Previously: Intern @ OpenAI

Montreal, CA

Joseph Suarez created Neural MMO — a massively multi-agent RL environment simulating large-scale populations
Principal Researcher at Puffer AI, building PufferLib (RL environment framework)
Expert in large-scale MARL environment design
Direct env creator

Jun Jet Tai

high hireability

ML Research Engineer@Eluve

Previously: Machine Learning Researcher @ Sony

Tokyo, JP

Jun Jet Tai is a top PettingZoo contributor (336 commits) and created PyFlyt (multi-UAV physics RL environments)
ML Research Engineer with deep expertise in RL environment design for aerial robotics
Active builder of open-source RL environments. h-index 10

Kallinteris Andreas

high hireability

Gymnasium-Robotics Project Manager@Farama Foundation

Kallinteris Andreas is the Gymnasium-Robotics Project Manager at Farama Foundation (113 Gymnasium commits)
Directly designs and maintains robotics RL environments including MuJoCo locomotion environments
Core RL environment builder

Karmesh Yadav

high hireability

AI Scientist Intern@Mistral AI

Previously: Intern @ Yutori

San Francisco, US

Contributed directly to Habitat-Sim and built the OVMM (Open Vocabulary Mobile Manipulation) benchmark environment
Expert in embodied AI simulation environments for navigation and manipulation RL. h_index 12 at intern/postdoc level is exceptional
Hireability HIGH
Bay Area

Marc Lanctot

high hireability

Senior Staff Research Scientist@DeepMind

Marc Lanctot is the lead researcher behind OpenSpiel (DeepMind's game-theoretic RL environment collection) and game theory research at DeepMind
Creator of authoritative game RL environments
Expert in multi-player RL environment design
Long-time DeepMind researcher

Mark Towers

high hireability

Software Engineer@Anyscale

Previously: Data Science Intern @ RBC Brewin Dolphin

London, GB

Mark Towers is the primary Gymnasium maintainer (278 commits) — the de facto standard for RL environments
Software Engineer at Anyscale (RLlib)
Expert in RL environment API design and standardization
Core architect of the modern RL environment ecosystem. h-index 4

Matteo Bettini

high hireability

Researcher@Meta

Previously: PhD Student @ University of Cambridge

Matteo Bettini created VMAS (Vectorized Multi-Agent Simulator) — one of the most efficient MARL environment frameworks
PhD at Cambridge, researcher at Meta
Expert in multi-agent RL environment design with GPU-accelerated simulation. h-index 9

Mayank Mittal

high hireability

Research Scientist@NVIDIA

Previously: Visiting Student Researcher @ University of Toronto

Zurich, CH

Mayank Mittal is a Research Scientist at NVIDIA working on Isaac Lab (the dominant GPU-parallelized RL framework)
Contributed to both legged_gym and IsaacLab
Expert in large-scale robotics RL environment infrastructure. h-index 13

Nathan Lichtle

high hireability

PhD Student@UC Berkeley

Nathan Lichtle created VMAS (Vectorized Multi-Agent Simulator, the GPU-accelerated MARL environment framework) and BenchMARL
PhD at UC Berkeley
Core creator of MARL environment infrastructure
Direct env builder

Quentin Gallouedec

high hireability

Researcher@Hugging Face

Previously: PhD student @ Ecole Centrale de Lyon

Quentin Gallouedec created gym-push-t and multiple RL environments; researcher at Hugging Face working on RL training ecosystems
Active Gymnasium contributor (4 commits)
Deep expertise in RL environment design and RL training pipelines. h-index 9

Reece O'Mahoney

high hireability

PhD student@Oxford Robotics Institute

Reece O'Mahoney is a PhD student at Oxford Robotics Institute focused on legged robot RL environments (Isaac Lab/IsaacGym)
Active contributor to robot locomotion RL simulation
Direct RL environment builder in prestigious UK robotics lab

Ryan Sullivan

high hireability

Postdoctoral Research Fellow@The University of British Columbia

Previously: Reinforcement Learning Intern for Game AI @ SonyAI

Vancouver, CA

Ryan Sullivan is a core PettingZoo maintainer (178 commits) and active MARL environment researcher
Postdoctoral fellow at UBC studying multi-agent RL environments and curriculum learning
Directly builds and maintains RL environment APIs. h-index 7

Sanghyun Son

high hireability

Research Intern@Genesis AI

Previously: Research Scientist Intern @ Adobe

Greenbelt, US

Sanghyun Son works at Genesis AI (the Dec 2024 ultra-fast physics simulator) and contributed to both PettingZoo and Genesis — he builds core RL simulation infrastructure
PhD from UMD; expertise in physics simulation and differentiable rendering for RL. h-index 6

Sanjana Srivastava

high hireability

PhD Student/Graduate Research Assistant@Computer Science Ph.D. student, Stanford University

Previously: Research Scientist Intern @ DeepMind

San Francisco, US

Stanford PhD (Chengshu Li / SVL lab) who built BEHAVIOR benchmark — 100 household activities in iGibson/OmniGibson simulation
Core developer of the embodied AI simulation platform itself
Hireability HIGH. h_index 13 at PhD level shows exceptional output
Bay Area

Shengyi (Costa) Huang

high hireability

Researcher@Allen Institute for Artificial Intelligence

Previously: Researcher @ Hugging Face

CleanRL author (Costa Huang) — primary creator of the most research-friendly RL implementation framework. 14 Gymnasium commits
Researcher at AI2/Periodic Labs focused on RL training infrastructure and environments
Published extensively on RL algorithms and environments. h-index 18

Siqi Liu

high hireability

Staff Research Engineer@DeepMind

Previously: Senior Research Engineer @ DeepMind

London, GB

Siqi Liu is a Research Scientist at DeepMind who contributed to OpenSpiel and multi-agent game environments
Expert in MARL environment design at the world's leading RL lab. h-index strong

Stone Tao

high hireability

Student Researcher@Allen AI

Previously: PhD Research Intern @ NVIDIA

San Diego, US

Stone Tao is the lead developer of ManiSkill3 (RSS 2025) — the most capable GPU-parallelized manipulation benchmark with 405 commits to the repo
PhD at UCSD/Allen AI
Direct builder of state-of-the-art RL manipulation environments. h-index 8

Tairan He

high hireability

PhD Research Intern@NVIDIA

Previously: Research Intern @ Shanghai Jiao Tong University

San Francisco, US

CMU PhD intern at NVIDIA who built OmniH2O + WoCoCo humanoid RL simulation environments (CoRL 2024, CoRL 2025)
Directly builds IsaacGym/IsaacSim-based RL environments for humanoid locomotion. h_index 15 exceptional for PhD intern
Hireability HIGH
Bay Area

Tongzhou Mu

high hireability

Member of Technical Staff@Stealth AI Startup

Previously: Robot Learning Intern @ 1X Technologies

San Francisco, US

Tongzhou Mu created ManiSkill1 (the original GPU-parallelized manipulation benchmark), SAPIEN simulator, and PartManip environments
Stealth startup after UCSD PhD
Serial RL environment creator from Hao Su lab. h-index high for field

Tyler Ga Wei Lum

high hireability

Robotics Research Intern@RAI Institute

Previously: Robotics R&D Intern @ NVIDIA

San Francisco, US

Tyler Lum at RAI Institute contributed to Isaac Lab and focuses on sim-to-real transfer for legged robots
Expert in GPU-parallelized RL environments using Isaac Lab
Direct RL environment builder in leading robotics institute

Wei Yang

high hireability

Senior Research Scientist@NVIDIA

Previously: Research Scientist @ NVIDIA

Seattle, US

Wei Yang is a Research Scientist at NVIDIA contributing to Isaac Lab — the dominant GPU-parallelized RL framework
Expert in large-scale robotics RL simulation infrastructure
NVIDIA's core RL environment team. h-index notable

Xuanlin Li

high hireability

Research Scientist & Tech Lead@Hillbot

Previously: Research Intern @ The AI Institute

San Diego, US

Xuanlin Li is Research Scientist & Tech Lead at Hillbot (Hao Su's company building ManiSkill)
Contributed 17 commits to ManiSkill
Builds generalist robotic simulation environments
Expert in vision-language-robotics RL environments. h-index 14

Xuehai Pan

high hireability

Code Engineer of Agent/RL Infra@DeepSeek AI

Previously: Technical Staff @ Moonshot AI

Beijing, CN

Xuehai Pan is RL/Multi-Agent Systems engineer at DeepSeek AI (previously PhD at PKU). 10 Gymnasium commits
Works on RL infra and agent systems
PhD focus on MARL environments
Relevant RL environments expertise in academic and industry contexts

Xuxin Cheng

high hireability

final-year PhD student@University of California, San Diego

Previously: MS student @ Carnegie Mellon University

San Diego, US

UCSD final-year PhD who built custom Isaac Gym environments for 'Extreme Parkour' legged robot RL and Open-TeleVision real+sim infrastructure
Active GitHub builder of locomotion simulation environments. h_index 15 exceptional for PhD level
Hireability HIGH
San Diego (US)

Yifei Li

high hireability

CS PhD Student@Massachusetts Institute of Technology

Previously: Research Scientist Intern @ NVIDIA

Cambridge, US

MIT CSAIL PhD building differentiable physics simulators (NeuralFluid NeurIPS 2024, DiffAvatar, Message Passing Transformer for physics ICLR 2025)
Differentiable simulation is core next-generation RL environment infrastructure
Hireability HIGH. h_index 7 for junior PhD
Cambridge, MA (US)

Zhenjia Xu

high hireability

Member of Technical Staff@Genesis AI

Previously: Senior Research Scientist @ NVIDIA

San Francisco, US

Zhenjia Xu is a researcher at Genesis AI contributing to the Genesis physics simulator
Expert in robot simulation environments and dexterous manipulation
Direct contributor to next-generation RL simulation infrastructure

Alexandre Brown

medium hireability

PhD Student@MILA

Alexandre Brown is a MILA researcher who contributed to multiple RL environment projects
Expertise in RL simulation
Limited public profile but MILA affiliation and environment contributions indicate genuine RL env expertise

Ariel Kwiatkowski

medium hireability

Research Engineer@Meta

Previously: Lead Developer @ Farama Foundation

Paris, FR

Ariel Kwiatkowski is a major Gymnasium contributor (59 commits) and MARL researcher at Meta
Expertise in crowd simulation, human-in-the-loop RL, and multi-agent environments
Research Engineer building RL environment infrastructure. h-index 5

Baruch Tabanpour

medium hireability

Senior Research Engineer@DeepMind

Previously: Software Engineer, Machine Learning @ Google

San Francisco, US

DeepMind Research Engineer whose entire listed expertise is 'Physics Simulation' — a pure simulation infrastructure builder
Low h_index (6) confirms engineering/env-building work rather than algorithm research
Active GitHub
Senior RE is a level at DeepMind, not a principal/distinguished title
Bay Area

Benjamin Black

medium hireability

Benjamin Black is a top PettingZoo contributor (1071 commits) — second-highest contribution count after Jordan Terry
Core builder of multi-agent RL environment infrastructure
Direct env designer
No researcher_slug found but very high contribution signal

Dibya Ghosh

medium hireability

Student Researcher@Physical Intelligence

Previously: Student Researcher @ DeepMind

San Francisco, US

Berkeley PhD (Levine group) at Physical Intelligence with 397 GitHub contributions in 2025 — extremely active builder
Co-authored offline RL benchmarks and RL evaluation suites. 168 contributions in 2024, 397 in 2025 signals active codebase/infrastructure work. h_index 17 at student level
Bay Area

Eugene Vinitsky

medium hireability

Research Scientist@Percepta

Previously: Research Scientist @ Apple

New York, US

Built Flow (traffic RL multi-agent environment) and GPUDrive (1M+ FPS GPU-accelerated driving simulation) — widely-used RL environments
Also co-authored Nocturne multi-agent driving benchmark
Serial RL environment creator from Berkeley FLOW lab. h_index 21
NYC-based (US)

Florian Felten

medium hireability

Project Manager@Farama Foundation

Previously: Postdoctoral Researcher @ ETH Zürich

Brussels, BE

Florian Felten is a Farama Foundation researcher who built MOMALAND (multi-objective MARL environments) and contributed to PettingZoo
PhD-level work on multi-objective RL environments
Active environment designer. h-index 5

Haoran Geng

medium hireability

PhD Student@Berkeley AI Research

Previously: Visiting Researcher @ Stanford University

San Francisco, US

Berkeley (Abbeel group) PhD who built RoboVerse — a unified simulation platform + dataset + benchmark for scalable robot RL training
Also built DREAM (differentiable real-to-sim engine) and DexGarmentLab env
Direct RL simulation platform builder. h_index 14 at PhD level is excellent
Bay Area

Haoru Xue

medium hireability

PhD Research Intern@NVIDIA

Previously: Visiting Researcher @ Carnegie Mellon University

San Francisco, US

Berkeley PhD intern at NVIDIA focused on whole-body control + legged locomotion RL environments in Isaac Lab
Builds and extends physics simulation environments (Isaac Gym/Lab) for bipedal/legged robot RL
Very junior (h_index 6) but active GitHub presence and working on next-gen locomotion envs
Bay Area

Hengkai Tan

medium hireability

Head of Embodied AI/World Models@ShengShu

Previously: Researcher @ ShengShu

Beijing, CN

Hengkai Tan works on Embodied AI and World Models at Shengshu; PhD at Tsinghua
Contributed to legged_gym
Research at the intersection of embodied RL simulation and world model environments. h-index 4

Jie Xu

medium hireability

Senior Research Scientist@NVIDIA

Previously: Research Assistant @ MIT

Seattle, US

NVIDIA Research Scientist whose expertise explicitly includes 'Simulation' and 'Robot Co-Design'
Builds differentiable simulation environments for robot co-design and RL optimization
Directly in the NVIDIA Isaac ecosystem building sim environments
MIT PhD. h_index 19
Seattle (US)

Josiah Wong

medium hireability

Researcher, Stanford Vision and Learning [SVL] Lab at Stanford Artificial Intelligence Laboratory (SAIL)@PhD Student, Stanford University

Previously: Intern, AI Algorithm Research @ NVIDIA

San Francisco, US

Stanford PhD (Chengshu Li / SVL lab) who worked directly on OmniGibson scene construction and real2sim2real pipelines — building simulation environments for mobile manipulation RL
Research explicitly includes sim2real and embodied AI simulation building. h_index 7 for junior PhD
Bay Area

Kourosh Darvish

medium hireability

Staff Scientist@Acceleration Consortium, University of Toronto

Previously: Postdoctoral Researcher @ University of Toronto

Toronto, CA

Kourosh Darvish at University of Toronto contributed to IsaacLab and works on embodied AI environments
PhD-level researcher building RL simulation environments for robotic manipulation. h-index growing

Kyle Beltran Hatch

medium hireability

PhD student@University of Southern California (USC)

Previously: AI Resident @ Toyota

Los Angeles, US

USC PhD (Levine group-adjacent) who published D5RL — a diverse RL benchmark environment suite — and Train Offline Test Online (TOTO) benchmark
Directly builds RL evaluation environments and benchmark suites. h_index 9 at PhD level
LA (US)

Martin Schuck

medium hireability

PhD candidate@TUM

Martin Schuck is a PhD candidate at TUM focused on Deep RL, robotics, and simulations (11 Gymnasium commits)
Builds simulation environments for RL
Active researcher in robotics RL with direct env building experience

Omar Younis

medium hireability

MILA

Omar Younis at MILA contributed 31 commits to Gymnasium
Researcher at MILA working on RL environments
While limited profile data, the volume and relevance of contributions indicates genuine RL environment expertise

Rodrigo de Lazcano

medium hireability

Previously: Researcher @ Farama Foundation

Rodrigo de Lazcano is a core Farama/PettingZoo contributor (83 commits) specializing in RL and Robotics environments
Built and maintained Gymnasium-Robotics environments
Direct RL environment builder with focus on robotics simulation. h-index 5

Ryan Julian

medium hireability

Research Scientist@NVIDIA

Previously: Research Scientist and Tech Lead for Humanoids, Robotics, Google DeepMind @ DeepMind

San Francisco, US

NVIDIA Research Scientist who co-authored Meta-World (2019) — one of the most-used multi-task RL benchmark environment suites — and Meta-World+ (NeurIPS 2025), the updated benchmark
Expertise explicitly includes 'benchmark reinforcement learning'
Direct RL environment/benchmark designer
USC PhD. h_index 18
Bay Area

Tianyi Xie

medium hireability

Research Intern@NVIDIA

Previously: Research Intern @ Netflix

San Francisco, US

NVIDIA Research Intern at UCLA PhD level whose research expertise is explicitly 'Physics-based Simulation'
Works directly on physics simulation systems for RL environment infrastructure
Pure env/simulator builder profile. h_index 10 is strong for an intern
Bay Area

Vincent-Pierre Berges

medium hireability

Researcher@Meta

Previously: Senior Machine Learning Software Engineer @ Unity

San Francisco, US

Meta AI Researcher and co-author of Habitat 3.0 (ICLR 2024) — one of the flagship embodied AI simulation platforms
Habitat is a core RL environment infrastructure project at Meta
Directly builds simulation environments for embodied navigation and manipulation RL. h_index 9
Bay Area

Wenli Xiao

medium hireability

Research Engineer@NVIDIA

Previously: Research Assistant @ CMU Robotics Institute

Pittsburgh, US

NVIDIA Research Engineer who co-authored OmniH2O and WoCoCo (CoRL 2024) — humanoid RL simulation environments
Builds Isaac Gym/Sim-based simulation environments for whole-body humanoid control. h_index 11 at RE level
Pittsburgh, PA (US)

Yian Wang

medium hireability

PhD student@University of Massachusetts Amherst

Previously: Intern @ Taichi Graphics

Amherst, US

Yian Wang at UMass Amherst contributed to Genesis and works on robotics simulation environments
PhD-level RL environment researcher
Direct builder of simulation environments for RL

Zhehuan Chen

medium hireability

MS student@Department of Computer Science, University of Massachusetts, Amherst

Amherst, US

Zhehuan Chen at UMass Amherst contributed to Genesis and works on physics simulation for RL
PhD researcher building RL simulation environments
Direct contributor to the Genesis physics platform

Zhengyi Luo

medium hireability

Research Scientist@NVIDIA

Previously: Research Scientist Intern @ NVIDIA

San Francisco, US

NVIDIA Research Scientist who built HumanoidOlympics/SMPLOlympics — sport-based physically simulated humanoid RL environments
Expertise includes Physics Simulation explicitly
Built OmniGrasp and OmniH2O physics-based environments for dexterous control
CMU PhD. h_index 21 at RS level
Bay Area

David Ha

low hireability

Co-Founder and CEO@Sakana AI

Previously: Research Scientist @ Google

Tokyo, JP

David Ha (Sakana AI CEO) created World Models — a generative simulation approach for RL environments
Gymnasium contributor
Research on evolutionary simulation and neuroevolution for env generation
CEO-level seniority limits day-to-day research output

John Schulman

low hireability

cofounder and chief scientist@Thinking Machines

Previously: researcher on the Alignment Science team @ Anthropic

OpenAI co-founder and core RL figure; contributed to Gymnasium as co-designer of the env API standard
Created OpenAI Gym (the predecessor) and wrote influential RL papers (PPO, TRPO)
Currently at Thinking Machines (h-index 62)
Top-tier env researcher

Jordan Terry

low hireability

Founder & CEO@Farama Foundation

Previously: Founder & CEO @ Swarmlabs

Washington, US

Jordan Terry is the founder and CEO of Farama Foundation, the organization responsible for maintaining Gymnasium, PettingZoo, and 12+ RL environment libraries
Top PettingZoo contributor (1487 commits)
The single most prolific builder of RL environment infrastructure in the open-source ecosystem

Nikita Rudin

low hireability

Co-Founder@Flexion Robotics

Nikita Rudin is the primary creator of legged_gym — the ETH Zurich Isaac Gym environment suite for legged robots that spawned hundreds of downstream locomotion RL projects
Co-founder at Flexion Robotics
The dominant figure in legged locomotion RL environment design

Tsun-Hsuan Wang

low hireability

Co-Founder@Genesis AI

Previously: Research Assistant @ Massachusetts Institute of Technology

Boston, US

Tsun-Hsuan Wang is a researcher at Genesis AI and former MIT PhD student who built the Genesis physics simulator (Dec 2024, 43M+ FPS)
Core builder of next-generation RL simulation infrastructure
Contributed to Genesis as a founding researcher

Yi-Ling Qiao

low hireability

Co-Founder@Genesis AI

Previously: Quantitative Researcher @ Jump Trading Group

San Francisco, US

Yi-Ling Qiao is a Genesis AI researcher who contributed to the Genesis simulator, specializing in differentiable physics for RL environments
Expert in physics-based simulation for robot learning
Core env infrastructure builder

Zhou Xian

low hireability

PhD student@Genesis AI, Carnegie Mellon University

Previously: Research Intern @ Meta

Zhou Xian is a Research Scientist at Genesis AI who contributed to the Genesis physics simulator — the most advanced open-source RL simulation platform (Dec 2024)
Expert in GPU-accelerated physics simulation for RL environments

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#1completed70 qualified / 70 foundMar 12, 8:36 PM