Jason Fleischer
Associate Teaching Professor
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJason 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 ManchesterM.S. Mechanical Engineering, M.S. Mechanical Engineering at Colorado State University
Github Skills (35)
python10
data-science10
pandas10
data-structure10
github-pages10
jekyll10
jekyll-theme10
data-structures10
data-analysis10
meta-analysis8
python-modules8
jupyter7
scientific-publications7
jupyter-notebook7
literate-programming6
Programming languages (4)
Github contributions (5)
COGS108/Lectures-Fa22
Sep 2022 - Nov 2022
Materials used during lectures. Mostly slide PDFs & Jupyter notebooks.
Contributions:18 commits, 15 pushes in 2 months
jupyter-notebook
COGS108/Lectures-Fa21
Sep 2021 - Dec 2021
Contributions:20 commits, 15 pushes, 1 branch in 3 months
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