Tom Hartvigsen

Assistant Professor at Massachusetts Institute of Technology

Charlottesville, Virginia, United States
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Summary

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Senior
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Tom Hartvigsen is an Assistant Professor at the University of Virginia and a former MIT visiting faculty member who applies eight years of research experience in machine learning and data mining to health-focused applications. He holds a Ph.D. in Data Science from Worcester Polytechnic Institute and has industry experience with Microsoft Azure ML and medical machine learning projects at UMass Medical School. Tom’s work bridges rigorous academic research and practical deployments, drawing on internships that ranged from atmospheric sensing to cloud ML tooling. Based in Charlottesville, he combines deep technical expertise with interdisciplinary collaboration across academia and industry, and maintains an up-to-date research portfolio on his personal website.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Worcester Polytechnic Institute
bookBachelor of Arts (B.A.), Applied Mathematics, Bachelor of Arts (B.A.), Applied Mathematics at SUNY Geneseo
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Stackoverflow

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Github Skills (21)

language-model10
acl10
dialogue-systems10
transformer-architecture10
natural-language-understanding9
natural-language-processing9
evaluation-framework9
nlp9
classification8
transformers8
gated-recurrent-unit7
transformer7
pytorch6
forecast5
forecasting5

Programming languages (4)

TypeScriptJavaScriptJupyter NotebookPython

Github contributions (5)

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Thartvigsen/EARLIEST

May 2019 - Jun 2021

PyTorch code for "Adaptively-Halting Policy Network for Early Classification", published at KDD'19. Paper link: https://thartvigsen.github.io/papers/kdd19.pdf
Contributions:35 commits, 32 pushes, 1 branch in 2 years 1 month
classificationpytorch
microsoft/TOXIGEN

Feb 2022 - Nov 2022

This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
Contributions:81 commits, 6 PRs, 17 pushes in 9 months
nlptransformer-architecturetransformersnatural-language-understandingdataset
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