Summary
Jason Fleischer is an assistant teaching professor and data scientist with ~9 years of experience applying machine learning and statistical methods to messy, high-dimensional problems across neuroscience, bioinformatics, robotics, and behavioral data. He blends large-scale computational modeling—ranging from HPC simulations of millions of neurons to embodied robotic systems—with practical data science teaching, having introduced hundreds of undergraduates to Python and data literacy at UCSD. His research history includes coordinating interdisciplinary teams and winning competitive grants while probing hard-to-define questions like the biology of episodic memory, sleep signals from wearable sensors, and algorithmic approaches inspired by biology for robot soccer. Comfortable moving between code, theory, and hardware, he brings a rare combination of hands-on robotics experience, rigorous computational modeling, and classroom mentorship based in San Diego.
9 years of coding experience
9 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at The University of Manchester
M.S., Mechanical Engineering, M.S., Mechanical Engineering at Colorado State University