​​EXPERIENCE 

​

​

Dodge & Cox, San Francisco, California, 6/2025 - 8/2025                                                                                    

Quantitative Fixed Income Research Intern                                                                                 

Developed autoregressive models to forecast option-adjusted spread movements across investment grade credit

Built feature engineering pipelines to rank and screen corporate bonds relative to issuer peer groups 

Backtested quantitative credit strategies in BQuant, supported validation of Cusip-guarantor linkage using SQL

​

The Wang Lab, Wilmington, North Carolina, 8/2024 - Present                                                                              

Computational Biochemistry Researcher                                                                                      

Develop computational models to predict electrostatic and hydrophobic field interactions of large molecules

Use PyTorch, PyRosetta, and PyMol to develop computational networks for antibody property prediction 

Research and apply molecular dynamics force fields to create all-residue simulations 

Constructed tool for generation of biomolecular field points using triangular mesh modeling and custom energy functions 

​

Association of Computing Machinery, Wilmington Chapter, Wilmington, North Carolina, 8/2024 - 5/2025

President and Chairman                                                                                                               

Directed executive committee in chapter re-establishment, growth initiatives, and alignment with ACM standards 

Organized technical skill-building activities focused on algorithmic problem solving and data science 

Scheduled speakers for fall 2024, including guests from Amazon, Linux Foundation, and Brookhaven National Lab

Spearheaded membership drive resulting in a 150% increase in active members  

​

UCSF Center for Intelligent Imaging / Larson Lab, San Francisco, California, 5/2024 - 8/2024 

Machine Learning Research Intern                                                                                             

Constructed state space and transformer-based machine learning models for tumor identification, achieving 92.5% accuracy 

Created training pipeline for ~8000 MRI images with adaptable dimension endpoints to support multiple model architectures 

Utilized Slurm and command-line interface to schedule and run training jobs on an A100 GPU 

​

UNCW Applied AI Lab, Wilmington, North Carolina, 9/2023 - 5/2024

Language Model Researcher   

Fine-tuned early transformer language models including Falcon and FLAN-T5 for use as medical teaching assistants

Designed and implemented a Siamese neural network/cosine similarity hybrid hallucination mitigation layer 

Created and pre-processed preference datasets for reinforcement learning from human feedback (RLHF)                                                                                               

​

​