about

I lead medical data and AI efforts at Sanoptis, where I work on bringing machine learning closer to everyday clinical care. I also teach part-time as Adjunct Faculty at the University of Utah. Before that, I spent time building healthcare AI systems at MTN and studied computational neuroscience at Columbia University. Most of what I do sits at the intersection of time-series analysis, medical imaging, and making models that clinicians can actually trust and use.

When I am not working on my data and software projects, I enjoy exploring the great outdoors via gradient descent, playing board games with friends, and dancing salsa and the waltz. My long-term goal is to apply my skills in data and mathematical modeling to automate complex processes and gain a deeper understanding of how we interpret the world around us.