Work Experience

Genentech

AI Research Intern · May-August 2026

Developed tool-using and retrieval-enabled scientific agents, reusable MCP integrations, and multimodal machine-learning pipelines connecting pathology images, molecular data, and structured biological evidence.

Virginia Tech

Research Assistant · May 2024-present

Research in LLM reasoning, post-training, reinforcement learning, multimodal foundation models, and agentic AI. Build scalable training, inference, retrieval, and evaluation systems using Python, PyTorch, Linux, and HPC infrastructure.

Labcorp

Summer Research Intern · May-August 2025

Developed reproducible machine-learning pipelines for large-scale genomic, clinical, and biomarker datasets. Built Python workflows for data processing, statistical modeling, feature engineering, and downstream scientific analysis in collaboration with scientific teams.

IQVIA

Machine Learning Engineer · May 2022-July 2023

Designed and implemented production-oriented machine-learning solutions for large-scale real-world healthcare datasets. Built automated Python, SQL, and AWS data pipelines, predictive models, forecasting workflows, and reusable statistical-learning systems with engineering and domain teams.

Carnegie Mellon University - Xu Lab

Research Intern · April 2021-July 2023

Developed representation-learning methods and scalable PyTorch pipelines for large 2D and 3D imaging datasets, including detection, segmentation, and structured prediction.

Harvard University

Research Intern · May 2022-January 2023

Developed deep and semi-supervised representation-learning methods for high-dimensional biomedical and visual data.