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AI / Machine Learning
& Computational Biology

Building AI systems for biomedical discovery — from fine-tuning vision-language models for radiology to physics-informed neural networks for biological simulation.

View Research Resume

5+

AI/ML
Projects

4.18

Major
GPA

2

Conference
Presentations

Featured Research

AI / ML • Computer Vision • Scientific Computing

AutoMammo — AI Mammography

Engineered a system to automatically classify and prioritize high-risk mammography cases. Fine-tuned Google MedGemma 1.5 4B-it vision-language model using LoRA and 4-bit quantization. Achieved ROUGE-L: 0.6693, METEOR: 0.7187, and Word-Level F1: 0.6789.

MedGemma VLM LoRA / QLoRA Computer Vision
Repository

Retinal Morphology Analysis

Developed an automated, config-driven 7-step end-to-end ML pipeline for RPE cell classification. Extracted 133 morphological/texture features and achieved 90%+ cross-validation F1-score using a stacking ensemble (XGBoost, LightGBM, CatBoost) with a Logistic Regression meta-learner.

Ensemble ML Feature Engineering OpenCV Scikit-Image
Repository

PINNs for Cancer Invasion

Engineered a PINNs model to simulate collective cancer invasion as a data-efficient, mesh-free solution for complex PDEs. Utilized Tensorized Fourier Neural Operators (TFNO) and explored Seq2Seq PINO and Augmented Lagrangian methods to improve solution accuracy.

PINNs PyTorch PDEs TFNO
Repository

Neuromorphic Biocomputing

Simulating biological "wetware" logic gates using FitzHugh-Nagumo and Hodgkin-Huxley models. Demonstrated how neural signaling dynamics perform Boolean AND operations through phase space trajectory analysis and coincidence detection.

Neural Simulation Diff. Equations Biophysics Manim
Repository

Quant Trading Lab — Financial Engineering

A comprehensive collection of quantitative finance projects implemented in Python, covering stochastic simulations (GBM, OU), derivatives pricing (Crank-Nicolson PDE), and volatility calibration. Implemented stat-arb strategies including pairs trading based on cointegration.

Stat-Arb Stochastic Calculus PDE Methods Backtesting
Repository

Technical Stack

AI / ML • Scientific Computing • Mathematical Modeling

AI / Machine Learning

PyTorch Hugging Face LoRA / PEFT Numerical PDEs Stat-Arb Scikit-learn XGBoost TensorFlow

Scientific Computing

NumPy Stochastic Calculus Portfolio Optimization SciPy OpenCV Pandas Matplotlib

Languages & Core

Python MATLAB SQL LaTeX Git / GitHub Bash / Zsh

Academic Timeline

Research & Teaching Experience
Aug. 2025 — Present

Researcher

RIMMES, Georgia State University
  • Collaborated with Dr. Russell Jeter to propose the The Density and BI-RADS – Aware Triage and Report Generation (DB-ATRG) System.
  • Disseminated technical methodology through formal academic presentations at the Georgia State Undergraduate Research Conference (GSURC) 2026 and the Department of Mathematics symposium.
Aug. 2025 — Present

Chemistry Laboratory Teaching Assistant

Georgia State University
  • Instructional mentor for CHEM 1151L, guiding 45 students in laboratory techniques and safety.
  • Evaluated weekly lab reports, providing critical feedback on scientific writing and data analysis.
Jun. 2024 — Present

Undergraduate Researcher & Near-peer Mentor

Center for the Advancement of Students & Alumni, GSU
  • Spearheaded computational biology projects focusing on wound healing simulations and RPE cell morphology.
  • Presented findings at the 2024 Summer Undergraduate Research Symposium and 2025 GSU Undergraduate Research Conference.
  • Mentored peers on the "Enhanced PINNs for Cancer Invasion" project, which won Best Project 2025.
Expected May 2027

B.S. Mathematics

Georgia State University
  • GPA: 4.18 / 4.30
  • Focus: Machine Learning, Mathematical Modeling, Numerical Analysis.