Forest Agostinelli

Assistant Professor at University of South Carolina

Columbia, South Carolina, United States
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Summary

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Senior
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Top School
Forest Agostinelli is an assistant professor at the University of South Carolina, focusing on deep learning, reinforcement learning, and search to solve scientific problems. He applies machine learning to bioinformatics and neuroscience, and uses insights from the sciences to design novel algorithms. His work often pairs rigorous theory with practical experimentation, demonstrated by solving puzzles like the Rubik’s cube as a testbed for search and planning. With a PhD in computer science from UC Irvine, an MS from the University of Michigan, and a BS in Computer Engineering from Ohio State, he has held research roles at DeepMind and industry internships at Microsoft, Adobe, and Intel, among others. Based in Columbia, South Carolina, he brings about a decade of experience across academia and industry, collaborating across disciplines to translate research into impactful tools and applications.
code11 years of coding experience
job2 years of employment as a software developer
bookMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Michigan
bookBachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at The Ohio State University
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Irvine
languagesEnglish, Spanish, Chinese, Nepali
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Github Skills (9)

solve10
astar-search10
deep-reinforcement-learning10
rubiks-cube10
python310
cube9
reinforcement-learning9
deep-learning9
pytorch9

Programming languages (1)

Python

Github contributions (5)

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forestagostinelli/AI_Class

Jan 2021 - Jan 2023

Contributions:98 commits, 106 pushes, 1 branch in 2 years
Contributions:33 commits, 60 pushes, 1 branch in 1 year
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