Lucas Mccullum
Doctoral Student at UT MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
Houston, Texas, United States
Summary
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Top SchoolLucas Mccullum is a doctoral student in Medical Physics at UT MD Anderson Cancer Center with eight years of interdisciplinary research and software development experience spanning MRI physics, radiation oncology, and computational tools. He develops and implements advanced MR techniques—such as magnetic resonance fingerprinting, non-Cartesian relaxometry, and SyntheticMR integration—for the 1.5T MR-Linac, and has hands-on experience operating and programming Philips, Siemens, and GE scanners. Previously he bridged clinical research and software at MIT-LCP, contributing to the wfdb-python package and building waveform visualization and annotation tools for PhysioNet. His background includes machine learning for treatment outcome prediction, Monte Carlo blood-dose simulations with 3D vasculature models, and quantitative MRI/CEST work at 7T, demonstrating a rare mix of physics, coding (Python/C++), and clinical translation. He pairs rigorous academic training from Stanford and UMBC with practical open-source contributions, and often combines imaging-derived quantitative metrics and radiomics to enable ML-driven decision support. Notably, he has translated low-level waveform and imaging processing work into reproducible tools used by broader clinical research communities.
7 years of coding experience
6 years of employment as a software developer
Ph.D Student, Medical Physics, Ph.D Student, Medical Physics at UT MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical SciencesUMBCMaster of Science - MS, Computational and Mathematical Engineering, Master of Science - MS, Computational and Mathematical Engineering at Stanford University
French, English
Github Skills (8)
debug10
python10
ekg9
fileio9
file-access9
file-handling9
file-processing9
documentation8
Programming languages (8)
Github contributions (5)
MIT-LCP/wfdb-python
Apr 2020 - May 2021
Native Python WFDB package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 4 reviews, 176 commits in 1 year 1 month
Contributions summary:Lucas primarily focused on improving the functionality and maintainability of the Python-based WFDB package. Their contributions included fixing missing parenthesis, raising errors for invalid file names, addressing URL path issues, and correcting syntax errors. The user also added functionality such as 24-bit data support and improved the appearance and documentation.
ekgsignaldtwpythondigital-signal-processing
MIT-LCP/waveform-annotation
Oct 2020 - Oct 2022
Platform for annotating physiological waveform data.
Contributions:1 release, 8 reviews, 333 commits in 2 years
waveform-datawaveform
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