Summary
Yichen Li is a PhD student at Harvard/MIT-area labs specializing in computational cognitive science, combining cognitive neuroscience and AI to study common-sense, compositional, and out-of-distribution reasoning. With nine years of research experience and strong engineering skills in Python, Java, and Matlab, he has built models for human sequential decision-making, denoising brain connectivity analyses, and few-shot compositional reasoning. His work spans academia and industry, including a quant research internship applying deep learning and reinforcement learning to high-frequency trading. Comfortable bridging theory and applied systems, he often brings neuroscience-inspired inductive biases to scalable ML problems. Located in Cambridge, MA, he blends rigorous mathematical training from NYU with cutting-edge research at Harvard/CSAIL.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mathematics; Computer Science, Bachelor's degree, Mathematics; Computer Science at New York University
Doctor of Philosophy - PhD, Computational Cognitive Science, Doctor of Philosophy - PhD, Computational Cognitive Science at Harvard University
Chinese, English