JavaScript Chess AI (Part 3)
It’s time to make a proper chess AI! In this blog post, I used the minimax search algorithm combined with alpha-beta pruning to make a sophisticated chess engine.
Hi! I am a 4th year PhD candidate (graduating ~ 05/24) studying computational and cognitive neuroscience at Duke University. I use a variety of data science and machine learning tools and analytic techniques to study the neural and computational bases of cognitive control and reinforcement learning. You can find my portfolio, resume, teaching and mentoring portfolio, and certificates above.
Summer Internships
I am actively searching for industry internships in AI, machine learning, and data science for Summer 2023. Please contact me if you are interested in discussing opportunities!
Summer 2022
In the summer of 2022, I began preparing for industry roles by taking LinkedIn Learning courses to improve my technical expertise in programming and data science. I used these new skills in a variety of personal projects, which can be viewed in my portfolio, and the courses I took can be found under certificates.
Recent posts
JavaScript Chess AI (Part 2)
Part 2! In this blog post, I create the basics of a computer chess agent, first by creating a completely random agent and then one that will recapture and checkmate when able.
JavaScript Chess AI (Part 1)
In this blog post, I demonstrate the basics of coding a working chess game interface with Javascript and HTML using the chess.js and chessboard.js libraries.
Modeling Reinforcement Learning
A resource guide and tutorial for reinforcement learning modeling of a bandit task using R and Stan.