Skills

Experience

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'

Website→ Paper Link → GitHub
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.

Paper Link → GitHub
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.

Paper Link → GitHub
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.

Paper Link → GitHub
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

About Me

I am a PhD student in Computer Science at Lehigh University. Specifically, my subfield is in structural bioinformatics focusing on analysis and prediction of 3D protein structures.

I started as a Math major with a pre-medicine focus at Skidmore College, but I found my passion was truly in problem-solving no matter the context. This fusion of quantitative analysis and biological understanding that fueled my interest and honed my expertise in Computational Biology. That is how I ended up joining Dr. Brian Chen's Informatics Lab at Lehigh University.

My work focuses on developing computational methods for protein structure prediction and function annotation. However, the nature of a PhD means I dabble in everything including the latest and greatest Machine Learning methods, 3D modelling, full stack web development, and wet lab protein research to fully demonstrate my methods at Lehigh University’s Informatics Lab.

My CV