I'm a Ph.D. in Physics with a passion for Artificial Intelligence, building communities, compassionate leadership, and public policy. Currently I work as a Data Science leader at Dexcom, where I am direct our AI Experience team in Large Language Model feature design, risk assessment, development, and deployment.
I received my Ph.D. in physics at University of California, San Diego, where my dissertation research in experimental particle physics focused on new physics searches at the Large Hadron Collider, and received my undergraduate B.A. in Physics and Mathematics from University of California, Berkeley, where I worked on machine-learning optimization of physics searches at Lawrence Berkeley National Laboratory.
I'm also a big believer in staying socially engaged and politically active. In the past I have advocated on behalf of fellow graduate students, argued for increased investments in higher education and research, and implemented programs for historically underserved communities. I continue to stay close to local, state, and national advocacy initiatives through alumni groups and conversations with fellow policy junkies, and am always eager to chat about how we can work together to drive meaningful, equitable reform.
Sr. Manager, AI Experience, Since Sept. 2023
Today I lead AI initiatives at Dexcom as the Sr. Manager of our AI Experience team. Our team is responsible for building state-of-the-art AI and machine learning models to deliver impactful experiences for Dexcom's customers. This includes leveraging Large Language Models (LLMs) and agentic workflows to power customer-facing features. Our scope encompases AI/ML research, LLM feature development, AI evaluation and risk assessment, and deployment of end-to-end, production-ready AI agents empowering users to take control of their health.
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 was later responsible for building up a new data science function as the leader of our Experience Individualization (XI) team. XI data science at Dexcom focuses on leveraging commercial, medical, and mobile app data to extract insights about patient behavior. The team continues supporting Dexcom's marketing and customer experience functions today by creating personalized experiences, delivering just-in-time support, and deploying A/B experiments to optimize digital experience campaigns.
Doctoral Student Researcher, 2014 - 2018
My dissertation research in experimental particle physics focused on new physics searches with the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) at CERN, where I was advised by Professors Frank Wuerthwein and Avi Yagil. As a graduate student I developed new techniques and variables for physics analysis, developing frameworks in C++ and Python for processing petabytes of physics data. My time at CERN was one of the most intellectually stimulating experiences of my career, where I had the opportunity to work within small teams and large collaborations at the forefront of modern physics.
President, 2017 - 2018
VP of External Affairs, 2016 - 2017
Legislative Liaison, 2015 - 2016
It is difficult for me to imagine graduate school without all the support of the community I found in the GSA. As a member of our Lobby Corps, a Legislative Liaison, and VP External, I assisted in our legislative lobby efforts and ultimately worked to determine our advocacy priorities, representing the needs of graduate students at the state and national level. As the President of the GSA, I oversaw the operations and initiatives of organization and worked worked on behalf of the 7000 graduate students at UCSD.
Research Assistant, 2012 - 2013
My years in Berkeley were a transformative time where I learned much about physics, programming, machine learning, and myself. While completing my undergraduate program at UC Berkeley, I had my first encounter with particle physics. Under the advisement of Professor Yury Kolomensky, I worked with the BaBar collaboration at LBNL on searches for new physics in invisible decays of a dark photons, research which ultimately inspired me to pursue my graduate degree.
Large Language Models hallucinate, but is that such a bad thing?
How data product development diverges from software
Bringing together stakeholders with a centralized queue for analytics requests