Kenneth Latimer
Data Scientist
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolKenneth Latimer is a data scientist and applied machine learning researcher with a decade of experience bridging statistical neuroscience and production ML in industry. He specializes in extracting interpretable insights from high-dimensional, multimodal, noisy time series using Bayesian modeling, dimensionality reduction, and neural networks, and has published work in top journals like Science and Nature Communications. Kenneth has translated neuroscience-grade inference and custom multi-GPU CUDA implementations into practical solutions for recommendations and flight ranking systems at Expedia, improving fairness and personalization across regulated markets. Comfortable collaborating with experimentalists and product teams alike, he designs experiments, builds scalable models, and visualizes predictive features to capture intersubject and long-term behavioral variability. Based in Chicago, he combines a PhD in Neuroscience with a BS in Computer Science to move between rigorous academic research and measurable business impact. An underappreciated strength is his track record of optimizing large-scale Bayesian inference pipelines for real-world datasets, enabling analyses that were previously computationally infeasible.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The University of Texas at AustinBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Colorado Boulder
Github Skills (5)
machine-learning1
python1
reduction1
dimensionality-reduction1
topological-data-analysis1
Programming languages (1)
Github contributions (5)
latimerk/GMLM_dmc
Sep 2021 - Aug 2022
Contributions:1 release, 67 commits, 52 pushes in 10 months
pillowlab/StepRampMCMC
Oct 2015 - May 2024
Contributions:16 pushes, 1 branch, 5 comments in 8 years 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.