Hi, I'm Mark

I'm a Ph.D. physicist and AI/ML engineering leader. As Director of AI/ML Engineering at Dexcom, I lead work across AI/ML Research, Safety and Alignment, and Applied AI/ML Engineering. My work spans metabolic foundation models and multimodal biosensing, and the integration of wearable data with AI systems, from research through consumer product launch, evaluation, and monitoring.

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 across AI/ML Research, Safety and Alignment, and Applied AI/ML Engineering. Our work ranges from metabolic foundation models, proprietary benchmarks, and multimodal sensor fusion to FDA Class II consumer products. Recent launches include the Stelo AI suite and AI Health Coach, the first regulated generative AI platform in glucose biosensing, and vision-language models for meal logging and metabolic insights serving more than 100,000 users. We pair that product work with clinical evaluation sets, validated LLM and VLM graders, and postmarket monitoring for production AI agents. I've also led more than $3 million in academic research partnerships and helped revise our AI/ML development lifecycle, accelerating release cycles 2x.

Sr. Manager, Data Science, Sept. 2022 - Sept. 2023
Manager, Data Science, Nov. 2020 - Sept. 2022
Staff Data Scientist, March 2020 - Nov. 2020
Sr. Data Scientist, May 2018 - March 2020

I joined Dexcom as one of the data team's first data scientists, and later built a new data science function focused on understanding how patients use Dexcom devices. We combined commercial, medical, and app data to create personalized experiences, improve in-app support, and run 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. After graduating, 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