Liam Doherty is a Senior Data Scientist and final-year Applied Mathematics PhD candidate who translates deep information-theoretic research into deployable machine learning systems for computer vision and collaborative autonomy. At R-DEX Systems he leads development of Angler, an information-theory toolkit used across multiple SBIR/STTR contracts, and has been lead engineer on awards ranging from $100k STTR efforts to a $1.5M Phase II SBIR and a $2M Direct-to-Phase-II win. He combines rigorous theory—work on computability and task learnability—with hands-on engineering that produces lightweight, reusable software and accelerates team productivity. Liam mentors and supervises interns and junior engineers, guiding projects that span neural SDEs, information geometry, synthetic data, and edge data fusion. Based in Philadelphia, he brings five years of applied research and product delivery experience and a knack for writing winning technical proposals that turn mathematical insight into funded, real-world systems.
5 years of coding experience
2 years of employment as a software developer
High School Diploma, Electrical and Electronics Engineering, High School Diploma, Electrical and Electronics Engineering at Burlington County Institute of Technology
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Drexel University
Mathematics, Mathematics at Rowan College at Burlington County
Bachelor of Science - BS, Mathematics, 3.7, Bachelor of Science - BS, Mathematics, 3.7 at Rowan University
Julia Implementation of the Weighted Ensemble Algorithm
Contributions:3 pushes in 2 years 8 months
ensembleweighted-ensembleweightedjulia
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