Hi, I'm Mark

I'm a Ph.D. physicist now working on AI and machine learning. As Director of AI/ML Engineering at Dexcom, I lead the team that owns our consumer AI/ML surfaces end-to-end, from research through production and monitoring. My research interests include AI alignment and evaluation, large metabolic models for biosensing, and the integration of wearable data with AI systems.

I earned my Ph.D. in Physics at UC San Diego, where my dissertation searched for new physics at the Large Hadron Collider, and my B.A. in Physics and Mathematics at UC Berkeley, where I worked on machine-learning searches at Lawrence Berkeley National Laboratory.

Outside of Dexcom I like building things. Loremaster, Cairn, and Smokescreen are a few of the projects I've been tinkering with. I love playing tabletop RPGs with friends, which is part of what led to Loremaster. And I stay close to conversations around higher education, research funding, and public policy, and am always up for talking about how to push things in a better direction.

Where I've Been

Some endeavors, past and present
You can find my resume here

Dexcom

Director, AI/ML Engineering, Since March 2026
Sr. Manager, Data Products & AI, Sept. 2023 - March 2026

I lead AI/ML Engineering at Dexcom, where our team owns Dexcom's consumer AI products end-to-end: research, design, launch, and production serving at scale. Recent launches include the first Generative AI platform in Glucose Biosensing and a multimodal AI agent for meal logging serving hundreds of thousands of users. Much of our work sits at the intersection of LLMs and regulated medical software, so we spend a lot of time on evaluation, alignment, and FDA-reviewed safety strategy for production AI agents.

Sr. Manager, Experience Individualization, Dec. 2020 - Aug. 2023
Staff Data Scientist, May 2018 - Nov. 2020

I joined Dexcom as one of the data team's first data scientists, and later built up a new data science function as the leader of our Experience Individualization (XI) team. XI used commercial, medical, and app data to understand how patients actually use Dexcom devices, and turned that into personalized experiences, better in-app support, and A/B experiments across marketing and customer experience.

European Organization for Nuclear Research (CERN)

Doctoral Student Researcher, 2014 - 2018

My dissertation focused on new physics searches with the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider, advised by Professors Frank Wuerthwein and Avi Yagil. I developed new analysis techniques and observables for CMS, and built C++ and Python frameworks for processing petabytes of collision data. It remains one of the most intellectually stimulating stretches of my career, and the place I learned how to work inside both small teams and huge collaborations.

Graduate Student Association, UCSD

President, 2017 - 2018
VP of External Affairs, 2016 - 2017
Legislative Liaison, 2015 - 2016

Graduate school would have been a very different experience without the community I found in the GSA. Through Lobby Corps, as Legislative Liaison, and later as VP External, I worked on our advocacy priorities and represented graduate students at the state and national level. As President, I ran the organization and its initiatives on behalf of 7,000 UCSD graduate students.

Lawrence Berkeley National Laboratory

Research Assistant, 2012 - 2013

Berkeley is where I first got into particle physics, programming, and machine learning. As an undergraduate I worked with Professor Yury Kolomensky and the BaBar collaboration at LBNL, searching for new physics in invisible dark photon decays. That work is what pushed me toward a physics PhD.

Projects

A few other things I'm working on