First-year at Yale ('30) studying Electrical Engineering & Computer Science. Currently GPU-accelerating mantle-convection simulations in the Jun Korenaga group at Yale Earth & Planetary Sciences, and a research intern with the Magali Billen group at UC Davis / CIG, working with ASPECT. Also IT consultant at NCS Computers.
Broadly interested in GPU computing, scientific computing, fluid simulation, reverse engineering, systems programming, remote sensing, and robotics.
Valedictorian, Sheldon High School '26. 1st Place & Global Nominee, NASA Space Apps Challenge 2024.
Experience
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Undergraduate Researcher — Jun Korenaga Group, Yale Earth & Planetary Sciences Swapped the CPU direct solver in the group's 2D finite-element mantle-convection code (C++) for NVIDIA cuDSS on the GPU — 3-step test run from 52 s to 3.4 s on an RTX 5000 Ada; verified against the original solver to within 5 ppm.
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Research Intern — Magali Billen Group, UC Davis / CIG 3D mantle-convection sweeps in ASPECT (deal.II / C++) under MPI and SLURM on the Hive HPC cluster; wrote a Python package (PyVista, Matplotlib) that loads, plots, and animates fields from parallel .pvtu output, replacing ParaView workflows.
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IT Consultant — NCS Computers Corporation Diagnosed hardware, network, and kernel-level failures; set up and migrated small-business servers.
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Robotics & Embedded Systems — Science Olympiad Autonomous competition robots (Arduino) — PID control, gyro-corrected motion, encoder-based distance prediction. 1st Place Regionals '23; 2nd Place '24 & '25; 4th, Stanford Invitational.
Projects
- NASA Space Apps Challenge — 1st Place (Folsom) & Global Nominee Satellite-data analysis tool built by a team of five on Google Earth Engine — Landsat 8 querying with spatial, temporal, and cloud-cover filters; real-time band compositing; reflectance charting; multi-format export. ~93,000 participants, 160+ countries.
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SPH Fluid Simulation — Unity / C# / HLSL Real-time 2D smoothed-particle hydrodynamics with the computation on GPU compute shaders — spatial hashing, parallel sorting, optimized dispatch for stability at high particle counts.
Education
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Yale University — BS, Electrical Engineering & Computer Science Fall 2026: Intro to Computer Science, Linear Algebra (intensive), Probability Theory, Discrete Mathematics.
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Los Rios Community College District — transfer coursework Calculus II & III, Linear Algebra, Differential Equations, Cisco CyberOps Associate.
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Sheldon High School — Valedictorian Class Rank 1/625 · GPA 4.54 W / 4.00 UW.
Skills
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Programming Python · C / C++ · C# · JavaScript · HLSL
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Systems Linux · HPC clusters (SLURM, MPI) · GPU computing · embedded systems
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Tools Git · Docker · ASPECT · PyVista · Matplotlib · Unity · Arduino