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@NVlabs
NVIDIA Research Projects NVlabs
@mit-han-lab
MIT HAN Lab mit-han-lab
Efficient AI Computing. PI: Song Han

MIT

@jsoishi
Jeffrey S. Oishi jsoishi
Just this guy, you know?

Cambridge, MA

@ekmett
Edward Kmett ekmett
I write a lot of Haskell.

Positron AI Farmington Hills, MI

@songhan
Song songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.

MIT, NVIDIA

@seanbell
Sean Bell seanbell
Director, Meta MSL. Co-Founder, GrokStyle Inc. PhD, Cornell University.

Bay Area

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@jsquyres
Jeff Squyres jsquyres

United States

@tqchen
Tianqi Chen tqchen
Machine Learning and Systems

CMU, NVIDIA

@jdemouth
Julien Demouth jdemouth
Sr. Distinguished Eng. @ NVIDIA - TensorRT-LLM Eng. Lead.

Nvidia Paris

@chrishyland
Chris Hyland chrishyland
PhD in Finance @ Oxford University

University of Oxford Oxford

@cowanmeg
Meghan Cowan cowanmeg
@ngimel
Natalia Gimelshein ngimel
@mwojcikowski
Maciej Wójcikowski mwojcikowski
Data Scientist, Cheminformatician, Python programmer, Lead @oddt developer, Cheminformatics Lead, DiCE, @merckgroup

@merckgroup Warsaw

@wickedfoo
Jeff Johnson wickedfoo
SIMD + GPU + FPGA + ASIC stuff for AI/ML. I wrote the original PyTorch GPU backend, GPU Faiss, and many other AI GPU things broadly in use across the industry.

Meta Fundamental AI Research (FAIR) Jackson, WY

@Chillee
Horace He Chillee
PyTorch Intern 2019 Compilers intern 2018 @google Maintainer of @VSCodeVim Cornell CS/Math 2020
@bayesian
Tao Xu bayesian
Learning Machine
@ajtulloch
Andrew Tulloch ajtulloch

@openai San Francisco