Lee Newberg
Visiting Researcher at Rensselaer Polytechnic Institute
City of Albany, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLee Newberg is a Visiting Researcher and computational scientist with two decades of experience turning noisy, large-scale datasets into actionable models across bioinformatics, transportation, and quantitative finance. He combines a PhD-caliber background in theoretical math and computer science with hands-on expertise in C++, Python, R, SQL and AWS to build and optimize algorithms, MCMC and NNMF-based methods, and high-performance software. His work spans academia, industry R&D, and open source—contributing bug fixes and features to the widely used Insight Toolkit (ITK) and implementing medical image analysis and digital pathology tools at Kitware. Lee has a track record of inventing practical algorithms (including a deployable NMF variant and efficient dynamic-programming backtracking) that materially improved speed and discovery in genomics and imaging. Comfortable operating where signal-to-noise is low or legacy approaches are too slow, he also brings production experience building scalable ingestion pipelines and Redshift schemas for traffic and cloud-based workflows for NGS analysis. Based in Albany, NY, he pairs deep theoretical insight with a pragmatic, optimization-first engineering approach.
6 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
cprogramming-language10
filter10
image-processing10
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
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.