About
I’m an AI researcher, machine-learning engineer and data scientist with over 10 years of experience in AI and software development. I founded Shaped in 2021 to help democratize break-through AI research and make the technologies found at big-tech accessible to everyone. At Facebook AI Research (FAIR) I created PyTorchVideo, the leading video understanding PyTorch domain library. I was also an initial core-contributor to PyTorch Lightning, a library that has standardized how deep-learning models are trained and is now used by millions of developers.
My publications and research interests are in video understanding, 3D vision, medical imaging, and, more generally, deep-learning. My writing can be found on the Shaped Blog.
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Select Publications & Patents
Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI
A Radmanesh, MJ Muckley, T Murrell, E Lindsey, A Sriram, F Knoll, ...Published in Radiology: Artificial Intelligence
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ..., T Murrell, ...,Published in Computer Vision and Pattern Recognition
PyTorchVideo: A deep learning library for video understanding
H Fan*, T Murrell*, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ..., *equal firstPublished in ACM International Conference on Multimedia
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study
MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ..., T Murrell, ...,Published in American journal of roentgenology
Work Experience
CEO & Co-founder @ Shaped
New York, NYShaped is an API for ranking and recommendations. We use real-time AI to create personalized discovery experiences for marketplaces and content platforms.
Applied Research Scientist @ Meta
New York, NY & Menlo Park, CAFacebook AI Research (PyTorchVideo): led a team with 20+ collaborators that focused on creating video understanding algorithms across research and production.
Facebook AI Research (fastMRI): engineering lead for the fastMRI team, our goal was to accelerate MRI acquisition time by up to 10x ( we got to 8x! ).
Building 8: Computer Vision lead for a confidential AR hardware product. Focused on multi-task deep-learning and hand-tracking.
Applied Machine Learning: Worked on 3D Vision tasks such as SLAM, tracking and depth-prediction to enable AR products in Instagram, Facebook and Oculus. Several of the product experiences are still used by millions of people daily.
Software Engineer Intern @ Uber
San Francisco, CAWorked on the growth platform team and, notably, saved Uber millions of dollars by implementing a more cost effective way of paying out driver incentives.
Software Engineer Intern @ Google
New York, NYWorked on a planet-scale time-series database that serves the Google Search Knowledge Graph. Involved building distributed MapReduce pipelines to extract and parse complex graph entities.
Software Engineer Intern @ Palantir
AustraliaBuilt a standalone application for analyzing telephony data. Extended Elastic-Search to enable URL querying with sublinear indexed storage.