Texas → Berkeley → UT Austin
My path has taken me from Dallas to Berkeley and back to Texas, with data as the thread connecting it all.
I graduated as valedictorian of Lamar High School and earned my B.A. in Data Science from UC Berkeley as a National Merit Scholar. At Berkeley, I explored how data science overlaps with linguistics and computer science. I’m currently pursuing an M.S. in Computer Science at UT Austin, with a focus on deep learning, machine learning, and generative AI.
What I find most compelling is learning what makes a dataset meaningful and building products that align technical capabilities with user needs.
See what I’ve builtMy journey so far
Research
At UT Austin, I worked with Dr. Juliana Duncan to simulate chemical reactions for fuel cells. At UC Berkeley’s Cohen Research Group, I prepared climate-chemistry datasets for training a machine-learning model. Both experiences taught me how to navigate large datasets, unfamiliar domains, and open-ended questions with patience.
Engineering
As a software engineer at Smarsh, I built new features for a NLP application that detected market misconduct in communications at leading financial institutions. The work sharpened my ability to collaborate, communicate tradeoffs, and build dependable software in a production environment.
Perspective
I want my work in data science to bring about meaningful, positive impact. For me, responsible and ethical technology starts with understanding the context, examining assumptions, and ensuring that technical sophistication serves a practical purpose.
Beyond the screen
Outside of work, I’m a passionate basketball and tennis fan. I enjoy competing on the court, and I bring the same mix of drive, strategy, and persistence to the projects I take on.