Summary
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.
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 Michigan
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at The Ohio State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Irvine
English, Spanish, Chinese, Nepali