–
PhD, Physics
Scientific machine learning and real-time GPU radio astronomy pipelines.
About
A little about me.
I’m a machine learning scientist with a PhD in Physics. My work has taken me from astronomical images to medical imaging and multimodal oncology AI.
I started in physics, studying astronomical images during my PhD at West Virginia University. I built machine-learning models for those images and real-time GPU pipelines for radio astronomy.
At Bristol Myers Squibb, I moved from astronomical images to medical imaging, developing models for CT and MRI analysis and tumor assessment. I also worked on agentic systems for clinical trials.
At Tempus AI, I train large-scale foundation models for imaging and genomics. I also build, orchestrate, and deploy agentic systems that use these models and real-world data to answer complex clinical questions and improve patient outcomes.
Outside work, I like cooking and watching Star Trek.
Education
What I studied
–
Integrated BS–MS, Physics
Teaching
Sessions with Machine Learning Tokyo
I’ve also led code-focused sessions on implementing deep learning models from Dive into Deep Learning. The slides, notebooks, and recordings are collected in the teaching archive.
Contact