Computational physicist, medical-imaging researcher & indie developer.
Researcher at Memorial Sloan Kettering working on MRI-guided radiotherapy for pancreatic cancer, MS candidate in Medical Physics at Columbia, and independent developer building productivity tools. Background includes computational physics, medical imaging, and applied machine learning from neutrino detectors at Los Alamos to diffusion-weighted MRI in the clinic.
M.S. in Computer Science · Post-Bac. Certificates in Data Science and Artificial Intelligence
M.S. in Medical Physics
B.A. in Physics · Computational Physics specialization · Magna Cum Laude
Computational Physicist
Bioinformatics Analyst
Math Teacher
Undergraduate Research Assistant
Research Assistant · Department of Scientific Research
An open-source MATLAB & Python pipeline for diffusion-weighted MRI analysis in MRI-guided radiotherapy.
Developed at Memorial Sloan Kettering under Dr. Eric Aliotta, pancData3 is the analysis backbone for an ongoing study of diffusion-weighted imaging in pancreatic-cancer radiotherapy. It unifies IVIM and ADC diffusion model fitting, deep-learning denoising, dose–volume histogram analysis against diffusion-defined GTV subvolumes, and cross-validated outcome modeling into a single reproducible pipeline.
Built for every kind of mind — a productivity app that works with your brain, not against it.
A cross-platform task manager that blends AI-assisted planning with wellness-focused productivity. Designed around neurodiversity and burnout prevention as first-class concerns rather than afterthoughts — combining task management, habit tracking, and a work–life balance engine in a single adaptive interface.
Campaign-prep for solo dungeon masters — Lazy DM, collaborative design, and proactive roleplaying in one tool.
A comprehensive campaign-prep and tableside orchestration web app that blends award-winning tabletop methodologies into a unified, zero-friction workflow. Synthesizing Mike Shea's Lazy DM framework, Collaborative Campaign Design, and Proactive Roleplaying, it enables Game Masters to seamlessly map character ambitions, manage faction clocks, track secrets, and project redacted logs to players in real-time.
Procedural ambient soundscapes synthesized via physical simulations of thermodynamic relaxation.
A web-based generative synthesizer that creates endless, non-repeating acoustic environments in real-time. By translating principles of physical annealing and chaotic dynamics into audio parameters, it modulates resonance, reverb, and microtonal shifts to relieve cognitive tension and foster deep-focus states. Features an interactive visualizer mapping sound propagation in simulated spaces.
C, R, Python, MATLAB, LaTeX
Java, C++, HTML, CSS, Bash/Unix, Vim, Git, ROOT
NIfTI & DICOM formats; NumPy, pandas; DnCNN and IVIMnet deep-learning integration.
Diagnostic Radiology, Radiation Therapy, Health Physics, Nuclear Medicine, Dosimetry, Machine Learning, Data Mining.
Proficient in Classical Latin; intermediate in Italian.
Science fiction & fantasy; psychology, political science, philosophy; classic rock and jazz.