Lee Newberg
Visiting Researcher at Rensselaer Polytechnic Institute
City of Albany, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLee Newberg is a Visiting Researcher at Rensselaer Polytechnic Institute who blends deep mathematical and statistical modeling with practical software optimization to solve hard, low signal‑to‑noise problems across bioinformatics, transportation, and quantitative arbitrage. He holds a Ph.D. in Computer Science from UC Berkeley and an exceptional mathematics degree from MIT, and is known for turning statistically challenging questions into fast, production-ready code. At Kitware and as a contributor to the widely used Insight Toolkit (ITK) he implemented imaging features and pragmatic bug fixes—adding capabilities like DICOM directory reading via Python imread—while at GE and Wadsworth he deployed novel algorithms (including a patented-style non-negative matrix factorization for RNA biomarker discovery) that led to real-world impact and funded grants. Fluent in C++, Python, R and Linux toolchains, he designs memory- and compute-efficient methods (MCMC, EM, importance sampling) and builds robust ingestion/QA pipelines for large data streams. Colleagues turn to him when an existing approach is too slow or the signal is buried in noise, because he couples theoretical rigor with production engineering to deliver repeatable, high-performance solutions.
5 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 4.0/4.0, Doctor of Philosophy (Ph.D.), Computer Science, 4.0/4.0 at University of California, BerkeleyBachelor’s Degree, Mathematics, 4.9/5.0 (5.0/5.0 in mathematics, physics, computer science.), Bachelor’s Degree, Mathematics, 4.9/5.0 (5.0/5.0 in mathematics, physics, computer science.) at Massachusetts Institute of Technology
Github Skills (12)
itk10
image-analysis10
debugging10
medical-imaging10
debug10
filtering10
c-language10
cpp10
filter10
image-processing10
c-programming-language10
python9
Programming languages (9)
Github contributions (5)
InsightSoftwareConsortium/ITK
Aug 2020 - Oct 2022
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer & Bug Fixer
Back-end Developer & Bug FixerContributions:311 reviews, 76 commits, 79 PRs in 2 years 2 months
Contributions summary:Lee's contributions primarily involve debugging and fixing issues within the ITK (Insight Toolkit) codebase. Their work focuses on addressing bugs related to signed distance map filters, priority queue wrappers, and casting image filter support for variable-length vectors. Furthermore, the user enhanced the software by adding support for reading DICOM directories using Python's imread functionality. Their commits demonstrate a focus on addressing issues and improving the toolkit's functionality.
pythonitkcomputer-visionopen-sciencescientific
DigitalSlideArchive/superpixel-classification
Apr 2023 - Apr 2025
Contributions:18 reviews, 10 PRs, 4 pushes in 2 years
classificationpythonmulti-label-classificationarbitraryimage-classification
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