Experience

D. E. Shaw Research

08/2025 - Present

Working on FEP and other probablistic methods for evaluating protein-ligand poses.

Istrail Lab

04/2024 - 05/2025

Generalized combinatoric protein folding algorithms to handle real-valued hydrophobicities.
Integrated force field information into more modern deep learning methods for protein structure prediction.
Wrote an honors thesis in the spring of 2025.

Peterson Lab

01/2024 - 05/2025

Helped develop a method to solve the generalized Poisson equation primarily on a planewave basis.
Implemented our new algorithm in the grid-based projector-augmented waves (GPAW) framework for use in implicit solvation electrostatic calculations.
Working on generalizing our method to handle arbitrary boundary conditions on a mixed sine and planewave basis.

Singh Lab

06/2023 - 05/2025

Formulated a relaxed variation of Augmented Gromov-Wasserstein (AGW) distance, a convex combination of Gromov-Wasserstein and Co-Optimal Transport distance, for single-cell multi-omic alignment.
Developed an open source optimization package using pytorch for computing optimal transport coupling matrices up to and including relaxed AGW.
Presented a poster at the 2024 iteration of Research in Computational Molecular Biology (RECOMB).
Published a paper in Bioinformatics Advances.

Advanced Algorithms in Computational Biology and Medical Bioinformatics

01/2025 - 05/2025

Held office hours and wrote both conceptual and programming homework questions.
Presented two lectures on protein folding while the professor is away in February with one of my fellow teaching assistants.

Introduction to Cryptography and Computer Security

09/2024 - 12/2024

Held office hours, going through reductions with students of a variety of cryptography backgrounds.
Worked with two other teaching assistants to coordinate assignments and grading.
Wrote over 160 pages of solutions to all of the course content to help students understand the material better. Included both shorter and more detailed answers to ensure readibility.

Charles River Associates

06/2024 - 08/2024

Developed causal models and manipulated large datasets in python for healthcare merger analysis.
Used folium and tkinter to create a mapping application that automates the visualization of geographic data, used by the team to analyze regional anticompetitive concerns in general merger and litigation cases.

Algorithmic Foundations of Computational Biology

01/2024 - 05/2024

Held more office hours and wrote a number of questions for both homeworks and exams.
Developed a new project on approximation algorithms for protein folding in the hyrophobic-hydrophilic (HP) model on a 2D square lattice.

Computational Molecular Biology

09/2023 - 12/2023

Held office hours and helped write conceptual questions for homeworks and exams.
Developed a new project on learning hidden Markov model parameters from simulated sequence datasets.
Wrote my first website!

Kojin Therapeutics

06/2022 - 08/2022

Used machine learning and data science techniques to predict cancer cell dependencies on a large metabolomics dataset.
Used python, scikit-learn, and tensorflow to develop models and select features.
Statistically validated biomarkers of ferroptosis sensitivity in cancer cells.