Adam Willats

Senior Data Science & Algorithms Engineer

Los Angeles, California, United States
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Summary

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Senior
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Top School
Adam Willats is a Senior Data Science & Algorithms Engineer with 11 years of experience applying machine learning, control theory, and signal processing to biomedical problems, currently designing glucose-estimation algorithms for Medtronic’s continuous glucose monitors. He earned a PhD in Bioengineering and has a research track record building real-time closed-loop neural control systems with sub-2 ms compute times, resulting in two patents, five publications, and an open-source codebase. Comfortable bridging lab and product, he has led grant-writing efforts that secured $1.6M, mentored trainees, and translated implantable-device research into practical prototypes. Known for clear science communication, he creates interactive visualizations and tools to make complex neural-data concepts intuitive for diverse audiences.
code11 years of coding experience
job9 years of employment as a software developer
bookComputational Neuroscience, Computational Neuroscience at University of California, Berkeley
bookDoctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at Georgia Institute of Technology
bookPurdue University
bookColumbus North High School
languagesEnglish, French, Chinese
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Github Skills (45)

computational-neuroscience9
plantuml9
atom-editor9
mermaid9
dynamical-systems9
neuroscience9
brian9
hidden-markov-model9
katex8
mathjax8
browser8
vim-mode-plus8
javascript8
multivariate-timeseries8
differential-equations7

Programming languages (10)

C++CoffeeScriptShellTeXJanetJavaScriptLuaHTML

Github contributions (5)

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awillats/rtxi_hmm_decoder

Aug 2017 - Oct 2019

Contributions:69 commits, 8 PRs, 52 pushes in 2 years 2 months
awillats/hmm

Feb 2019 - Apr 2022

simple hidden markov model code intended to support control of switching linear dynamical systems
Contributions:136 commits, 8 PRs, 8 pushes in 3 years 2 months
hidden-markov-model
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