I build software for health, biotech, and neuroscience using techniques from machine learning, biomedical data analysis, and data visualization. I’m currently working on tools to help people understand their health and make decisions that promote longevity at Blueprint.
I’ve been working in software and health-related research for about fifteen years, through positions at biotech startups and research institutes. My education has taken me to Caltech for undergrad, Brown for a CS PhD, and USC for a postdoc in neuroinformatics. Over the past few years, I’ve held staff engineering positions in several startups building AI tools for cancer diagnostic and prognostic testing ( ArteraAI and PathAI). Before that, I worked as an Assistant Professor at the Stevens Institute for Neuroimaging and Informations at the Keck School of Medicine where I led a team building software for neuroimage analysis, storage, and visualization, including projects related to Alzheimer’s disease, stroke, and traumatic brain injury. I created a software package called the Quantitative Imaging Toolkit (QIT) that has been used in numerous neuroscience labs and studies and has received grant support through a Chan Zuckerberg Initiative Imaging Scientist Award. You can find some of my publications and software linked below. I love collaborating with people and immersing myself in new experiences and technical challenges, so reach out if you’d like to connect!
PhD in Computer Science, 2016
Brown University
MSc in Computer Science, 2012
Brown University
BSc in Eng. & Applied Science, 2005
California Institute of Technology
Software for 3D Visualization and Image Analysis. Automated and Interactive Tools for Diffusion MRI Tractography and Microstructure Imaging.
Check out: a gallery of visualizations, a video of the atlas, and the abstract