2024: NeurIPS-MyoChallenge 24 -- Physiological Dexterity and Agility in Bionic Humans
2023: NeurIPS-MyoChallenge 23 -- Towards Human-Level Dexterity and Agility
MyoDex: A Generalizable Prior for Dexterous Manipulation
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation
MyoSuite Web Demo: An interactive demonstration of the Musculoskeletal Models of the MyoSuite framework
2022: NeurIPS-MyoChallenge: Learning contact-rich manipulation using a musculoskeletal hand
MyoSuite: An embodied AI platform that unifies neural and motor intelligence
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies
xFormers: A modular and hackable Transformer modelling library
2021: Fully Sharded Data Parallel: faster AI training with fewer GPUs
FairScale: A general purpose modular PyTorch library for high performance and large scale training
Research Experience
Worked as a technical program manager and researcher at Meta AI, supporting several large and impactful projects such as FairScale, xFormers, EgoExo, and MyoSuite. Previously, was a researcher, senior manager, and strategist at IBM Research.
Education
Received a PhD from the University of Tuebingen, Germany; did postdoctoral work at MIT (USA) and the Karolinska Institute (Sweden).
Background
Exploring the fascinating worlds of neuroscience and artificial intelligence, both in academia and industry. Main passion is to understand the neural principle of how our brains and spinal cord coordinate movement. Aiming to enhance our understanding of movements of both healthy and diseased individuals and to pioneer innovative technologies that improve lives.
Miscellany
Based in New York, NY; active on social media including Twitter, LinkedIn, GitHub, and Google Scholar.