Rising Junior Β· Class of 2028 Β· Alliance Academy for Innovation
Data science, astrophysics research & sustainable systems engineering
I work at the intersection of industrial engineering, data science, and astrophysics β modeling the carbon and water footprint of AI infrastructure, studying how light pollution degrades astronomical observation, and prototyping ways to accelerate the deorbiting of space debris. I'm aiming toward a B.S. in Industrial Engineering with a concentration in data science and a minor in astrophysics, a Ph.D. in astrophysics or applied mathematics, and a career turning space and climate data into decisions that matter.
I'm a rising high school junior who first got interested in data because of a question that kept nagging at me: what is our growing reliance on computing quietly costing the environment? That question turned into CarbonLens, an open-source tool comparing AI datacenter water and power use against real Atlanta infrastructure data, and into a string of research papers on AI's carbon footprint, light pollution's effect on telescopes, and low-propulsion ways to deorbit space debris.
Outside of research, I founded a chapter of a national sustainability organization, lead an AI research team through the New York Junior Academy of Sciences, and teach β from SAT prep to competition math β because I think explaining an idea well is the fastest way to actually understand it.
Relevant coursework
Expected future coursework, 2027β2028
GPT-3 β 700k liters water Β· cross-referenced against Atlanta datacenter power draw
A low-code tool I built to track the carbon and water tradeoffs of AI datacenters. It pairs public model-training data with regional utility data on an interactive dashboard, built with HTML/JavaScript and Power BI.
Ξm = 2.5 log(32/25 nW/cmΒ²/sr)
Quantified a 0.37-magnitude loss in Atlanta's night sky (a 28% increase) using VIIRS satellite radiance data and a derived limiting-magnitude equation.
COβ β params^1.9
Derived a scaling law from GPT-3 and BERT training data using log-log regression (Ξ± β 1.8β2.0), modeled in Excel.
pH 6.8 β 6.1 (spinach) Β· 7.7 β 6.1 (philodendron)
Exposed Malabar spinach and philodendron to 1,200 ppm COβ β datacenter-level concentrations β and measured the resulting drop in soil pH against untreated controls.
Exponential emissions & water-stress index modeling, Python
Built an exponential emissions-projection model and a water-stress index using government-backed sources, comparing mitigated, worsened, and base-case scenarios for Metro Atlanta's freshwater supply.
Passive drag-coefficient coating Β· no propulsion required
Designed a voltage-activated smart coating that raises a satellite's atmospheric drag coefficient to speed up deorbiting, evaluated against drag sails, tethers, and propulsion through a systems-engineering tradeoff analysis.
Leadership & service
New York Junior Academy of Sciences (NYJAS)
Eco MoCo ATL
Stanford-affiliated national fellowship
HOSA β Future Health Professionals, Alliance Academy Chapter
Teaching & professional experience
STEMΒ·E Youth Career Development Program
Schoolhouse.world
Mathnasium
North South Foundation
Competitive Experience