Incoming Math & CS @ Stanford
Research
Cryptography, public-health data, and healthcare systems work across university research settings.
Conducted at Stanford University Mathematics Camp
Studied post-quantum cryptography at Stanford SUMaC through Ring Learning with Errors (Ring-LWE) and lattice-based encryption, connecting abstract algebra and number theory to the security assumptions behind quantum-resistant systems.
Paper in ProgressConducted at Georgia Southern University
Modeled healthcare facility access with Voronoi diagrams, weighted k-means clustering, and Atlanta-area data. Added population density, patient choice, and health-risk factors to a scoring framework, then tested iterative optimization algorithms for improved facility placement.
Read paperConducted at Emory University School of Public Health
Joined Emory's wildfire modeling team for data processing and grew into a core technical contributor. Built pipelines for decades of satellite and surface-monitor data, wrote XGBoost code for smoke prediction models, and co-authored a conference poster on wavelet-decomposed observations and machine learning presented at the ISES-ISEE 2025 Joint Conference.
Open Smoke AwareProjects
Apps, tools, and websites built across research, startup, and nonprofit work. Click a skill below to highlight related work.
A public web app that makes wildfire smoke datasets, forecasts, and AI-assisted analysis easier to access.
Wildfire smoke research depends on public satellite, monitor, and weather data that is difficult to extract and compare across sources.
Built a Next.js/React app with Firestore, Google Maps API, OpenAI API, and Python collection scripts to expose data workflows from Emory smoke modeling research.
Won 2nd place in the Congressional App Challenge and turned research tooling into a public-facing product.
A modeling project using Voronoi diagrams, weighted k-means, and Atlanta-area data to study public health facility access.
Healthcare access depends on where facilities are located, but simple distance maps miss population density, patient choice, and risk factors.
Built Python simulations using Voronoi diagrams, weighted k-means clustering, and iterative adjustment algorithms on Atlanta-area data.
Drafted and submitted a manuscript, presented a poster at the 2025 Georgia Tech Research Symposium, and placed 2nd in Mathematics at the Fulton County Science Fair.
A neighborhood-centered care platform for finding trusted childcare, pet care, and senior care providers nearby.
Families need trusted local providers, while providers need easier ways to share availability and manage requests.
Built product flows across Vue, JavaScript, C#/.NET Core, .NET Aspire, Azure SQL, Postman, SendGrid, and Figma.
80+ neighborhoods registered, 1K services completed on the platform, and 100+ frontend components/pages.
A nonprofit website for BNT Foundation, supporting community initiatives, events, and donation/contact flows.
The nonprofit needed a clear public site to explain initiatives, route donations and contact, and build trust around patient-support work.
Built a Next.js/React site with interactive 3D sections, REST API integrations, SendGrid, and PayPal.
Supported a nonprofit that raised $30k+ for specialized bras for breast cancer patients and helped sponsor a community event with 7,000+ attendees.
Skills
Core technical areas used across research, apps, and product work.
Awards
Selected national and technical distinctions.
Top 10 team + $50,000 prize
USA(J)MO Qualifier + 4x AIME Qualifier
USAPhO Semi-Finalist
Recognized for Smoke Aware
USACO Gold
Stanford