About Me

I'm a Computer Science PhD candidate at Lehigh University, working in the Informatics Lab with Dr. Brian Chen. My research sits at the intersection of machine learning and biology—specifically, using graph neural networks and deep learning to understand protein-protein interactions and the mechanisms behind molecular binding.

What drives me is the challenge of making sense of complex biological systems through computational models that are not just accurate, but also interpretable. Along the way, I've had the chance to work on meaningful projects: developing structure-aware mRNA models at Moderna, building modular AI agent workflows at Los Alamos National Lab, and publishing tools like HBcompare and DiffBond that explore how molecular bonds form and function.

I also enjoy designing systems that help others do science - like a containerization framework for bioinformatics software that was recognized as a Best Paper Finalist at ACM-BCB. Whether it's visualizing proteins in 3D, scaling pipelines, or digging into graph representations of molecules, I like working at the boundary between raw data and useful insight. For me, research isn't just about building smarter models—it's about building tools that empower discovery.

My CV

Skills

Experience

AI Systems Research Intern, Los Alamos National Lab

Los Alamos, NM

  • Built a modular multi-agent AI workflow to automate terabyte-scale simulation data analysis, in collaboration with Argonne National Lab.
  • Integrated LangChain and LangGraph for schema-aware database querying and intelligent task delegation to support plug-and-play scientific pipelines.
  • Evaluated modularity, scalability, and interpretability in agentic system design to inform future scientific AI infrastructure at LANL.

Work 1

Bioinformatics Research Co-op, Moderna Therapeutics

Cambridge, MA

  • Developed a PyTorch-based transformer model and graph neural network model for mRNA analysis
  • Discovered a novel method for altering normally inflexible mRNA structural properties using graph features.
  • Engineered several production-level features and improvements to the current Moderna computational pipeline.
  • Presented comprehensive reviews and project insights to executive leadership at Moderna, including the VP and directors of computational science.

Work 1

Adjunct Professor in Mathematics

Brooklyn, NY

  • Aided in the development of a web-based interactive homework assignment and grading system, used in all math classes throughout the college.
  • Taught several college level mathematics courses including pre-calculus, calculus 1, and calculus 2.
  • Utilized a mix of lecture-style and activity-style teaching strategies to maximize participation and understanding of difficult topics.

Work 1

Publications

A Containerization Framework for Bioinformatics Software to Advance Scalability, Portability, and Maintainability.

In 14th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB '23), September 3–6, 2023

A full-stack web development project focused on the containerization and abstraction of Bioinformatics software to make web development easier for researchers. Awarded best paper finalist of CSBW at ACM-BCB '23'

Project 3

HBcompare: Classifying Ligand Binding Preferences with Hydrogen Bond Topology

Biomolecules, MDPI, Oct 28, 2022

A graph neural network approach to classifying hydrogen bond topology.

Project 3

Analysis of Protein-Protein Interactions for Intermolecular Bond Prediction

Molecules, MDPI, Sep 21, 2022

Protein-Protein Interaction analysis using intermolecular bond prediction, mapped using coordinate structure and validated using the SKEMPI 2.0 data set.

Project 2

DiffBond: A Method for Predicting Intermolecular Bond Formation

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, Dec 9, 2021

An exploration of intermolecular bond topology in Protein-Protein Interactions.

Project 1

Education

PhD Candidate in Computer Science/Bioinformatics

August 2020 - Graduating May 2025 Lehigh University, Bethlehem, PA
P.C. Rossin College of Engineering
Advisor: Brian Y. Chen

B.A. in Mathematics, Minor in Computer Science and Chemistry

August 2015 - May 2019 Skidmore College, Saratoga Springs, NY