Forest Agostinelli
Assistant Professor at University of South Carolina
Columbia, South Carolina, United States
Summary
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Senior🎓
Top SchoolForest Agostinelli is an assistant professor at the University of South Carolina with 11 years of experience bridging deep learning, reinforcement learning, and search to scientific problems. He develops novel algorithms inspired by biology and neuroscience and applies them to domains ranging from bioinformatics to puzzle-solving, including work on the Rubik’s cube. His background blends academic rigor (PhD from UC Irvine) with industry research stints at DeepMind, Microsoft, Adobe, and Syntiant, where he explored topics like DRL-GANs and analog neural networks. Based in Columbia, SC, he combines theoretical research with practical experimentation, often drawing cross-disciplinary insights that inform both algorithm design and real-world applications.
11 years of coding experience
2 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of MichiganBachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at The Ohio State UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Irvine
English, Spanish, Chinese, Nepali
Github Skills (7)
solve10
deep-reinforcement-learning10
rubiks-cube10
cube9
reinforcement-learning9
deep-learning9
pytorch9
Programming languages (1)
Github contributions (5)
forestagostinelli/AI_Class
Jan 2021 - Jan 2023
Contributions:98 commits, 106 pushes, 1 branch in 2 years
forestagostinelli/Deep_Reinforcement_Learning_and_Search_Class
Oct 2020 - Nov 2021
Contributions:33 commits, 60 pushes, 1 branch in 1 year
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