I’ve been exploring the fascinating worlds of neuroscience and artificial intelligence, both in academia and industry. My main passion is to understand the neural principle of how our brains and spinal cord coordinate movement. By exploring these intricate mechanisms, I aim to enhance our understanding movements of both healthy and diseased individuals and to pioneer innovative technologies that improve lives.

During my experience in industry, I was at Meta AI as a technical program manager and researcher. There I supported several large and impactful projects such as FairScale and xFormers, EgoExo and MyoSuite. Before that, at IBM Research, I was a researcher, sr. manager and a strategist.

I received a PhD from the University of Tuebingen, Germany and I did postdoctoral work both at the MIT (USA) and the Karolinska Institute (Sweden).

Highlights

2024

NeurIPS-MyoChallenge 24 -- Physiological Dexterity and Agility in Bionic Humans Vittorio Caggiano, et al Website | code

2023

	NeurIPS-MyoChallenge 23 -- Towards Human-Level Dexterity and Agility. Vittorio Caggiano, et al Website | code
	MyoDex: A Generalizable Prior for Dexterous Manipulation Vittorio Caggiano, Sudeep Dasari, Vikash Kumar Webside | code
	SAR: Generalization of Physiological Dexterity via Synergistic Action Representation Cameron Berg, Vittorio Caggiano, Vikash Kumar Website | Publication | code
	MyoSuite Web Demo: An interactive demonstration of the Musculoskeletal Models of the MyoSuite framework. Vittorio Caggiano, Vikash Kumar MyoSuite Demo | code

2022

	NeurIPS-MyoChallenge: Learning contact-rich manipulation using a musculoskeletal hand. Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Seungmoon Song, Yuval Tassa, , Massimo Sartori, Vikash Kumar Challenge website | Twitter
	MyoSuite: An embodied AI platform that unifies neural and motor intelligence Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar Meta Tech@ blog | code
	MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies Huawei Wang*, Vittorio Caggiano*, Guillaume Durandau, Massimo Sartori, Vikash Kumar code
	xFormers: A modular and hackable Transformer modelling library Benjamin Lefaudeux, Francisco Massa, Diana Liskovich, Wenhan Xiong, Vittorio Caggiano, Sean Naren, Min Xu, Jieru Hu, Marta Tintore, Susan Zhang code

2021

	Fully Sharded Data Parallel: faster AI training with fewer GPUs Myle Ott, Sam Shleifer, Min Xu, Priya Goyal, Quentin Duval, Vittorio Caggiano Facebook Engineering blog | code | docs
	FairScale: A general purpose modular PyTorch library for high performance and large scale training Mandeep Baines, Shruti Bhosale, Vittorio Caggiano, Naman Goyal, Siddharth Goyal, Myle Ott, Benjamin Lefaudeux, Vitaliy Liptchinsky, Mike Rabbat, Sam Sheiffer, Anjali Sridhar, Min Xu code