Selected Works
An archive of my research and technical work experiences bridging biological systems and computer science.
Biological Research
geneticsGLP1-RA Polygenic Risk Prediction (Research Science Institute 2025)
June 2025 - August 2025
Broad Institute of MIT and Harvard
- Built polygenic risk score models to identify subpopulations most likely to benefit from GLP-1 receptor agonist therapy.
- Integrated GWAS data with EHR records across diverse biobank cohorts under PI Pradeep Natarajan.
- Research recognized as top 5 oral presenters at the Research Science Institute (RSI) at MIT by Regeneron Pharmaceuticals and presented at the American Heart Association's National Conference.
Links
siRNA Kidney Gene Therapy Research
2023 - Present
Weill Cornell Medical School and the University of New Mexico
- Investigated small interfering RNA delivery mechanisms for targeted gene silencing in renal tissue under PI Achraf Noureddine.
- Developed novel lipid nanoparticle formulations to improve renal cell transfection efficiency that substanially outperformed the clinical standard.
- Research placed 4th at the International Science and Engineering Fair (ISEF) and was published in the International Journal of Pharmaceutics.
Links
Spaceflight Osteoporosis Treatment
May 2024 - August 2024
Massachusetts Institute of Technology
- Analyzed bone density loss mechanisms in microgravity and proposed pharmacological interventions under the mentorship of Dr. Marissa Morales.
- Research selected as a national finalist (top 5/ >1000 applicants) in the Genes in Space challenge .
- Presented at the International Space Station Research and Development Conference and published in the Journal of Emerging Investigators.
Links
Computational Work
terminalMachine-Learning-Informed Cancer Nanomedicine Design
September 2023 - Present
University of Southern California
- Integrated machine learning with physics-informed modeling to design cancer-targeting nanoparticles under PI Prashant Dogra.
- Experimentally tested chemo-nanotherapeutics substantially outperformed the clinical standard by 60%.
- Research recognized as second place twice by the United States Department of Defense and published in ACS Nano.
Links
Health Policy Machine Learning Research
June 2023 - February 2024
DaVita Clinical Research
- Developed interpretable ML models to forecast outcomes for Value-Based Care Models under PI Steven Brunelli.
- Research accepted to Interdisciplinary Association of Population Health Scientists National Conference..
Links
CoinCurious Educational Technology Platform
2022 — 2023
Jump$tart Coalition of New Mexico
- Built a gamified financial literacy platform for underserved K-12 students.
- Designed adaptive curriculum pathways using item-response theory.
- Congressional Recognition through the Congressional App Challenge and showcased at the U.S. Capitol.