about
I'm an undergraduate computer science student at the Colorado School of Mines, finishing a B.S. in Computer Science with a minor in Applied Mathematics and Statistics. Most of my time outside coursework goes to the ARIA Lab on campus, where I'm working on novel localization methods for mobile robots, building on semantic segmentation and object registration. The first paper from that work is in writing now.
I came to Mines after a high-school stretch at STEM School Highlands Ranch, where I co-founded the Computer Science Honor Society and led software for FIRST Robotics Team 4418, then took college math classes at the University of Colorado Denver alongside high school. Two summer internships at Lockheed Martin Space (an AR app for full-scale 3D model viewing in 2021, then ML research on satellite digital twins in 2022) pulled me into the intersection of machine learning and aerospace before I'd ever taken a college ML class. After Mines, that thread continued: SEAKR Engineering on satellite boot software in 2024, Ricoh USA on synthetic data pipelines for industrial robotics in 2025, and Northrop Grumman's AIR Lab on physics-informed ionosphere forecasting and computer vision for UAVs through late 2025. This coming summer I'm headed to Google as a SWE intern on the YouTube AI team, working on efficient neural architectures for video on custom accelerators.
What I keep coming back to is generalist robotics: getting a single agent to take a natural-language instruction and execute it on an unfamiliar platform in an unfamiliar environment. Vision-Language-Action models are the closest thing we have to that today, and the two subproblems I care about most are data efficiency (how little real-world interaction does a policy need before it generalizes?) and task generalization (how do you cover the long tail of tasks without brittle per-task fine-tuning?). Both sit in the gap between the clean modeling abstractions and the messy physical constraints of real embodiment, and that's where I'd like to keep working, both through the rest of undergrad and into a PhD.
- location Golden, CO
- education BS Computer Science, Colorado School of Mines (expected Dec 2026, 4.0 GPA)
- minor Applied Mathematics and Statistics
- research ARIA Lab @ Mines — semantic segmentation for robot localization
- incoming Google SWE intern, YouTube AI (May–Aug 2026)
- languages Python, C++, C, Rust, Julia, MATLAB, R, Java, C#, Fortran
- spoken English (native), Mandarin (limited), French (limited)
- awards Mines Undergraduate Research Fellowship, American Bureau of Shipping Scholarship, President's Merit Scholarship, Dean's List (2023–present)
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