Financial Economics Institute '24-Present

Institute at Claremont McKenna College focusing on Computational Approaches to Financial Economics. PI: Dr. Benjamin Gillen.

• On Subset Optimization
• Aiming to understand the efficacy of subset optimization, a novel approach to mean-variance portfolio optimization, as an asset allocation strategy.

Lubbe Lab '22-'24

Human Genomics Lab at Northwestern Medicine studying genetic causes of motion-debilitating disease. PI: Dr. Steven Lubbe

On the Relationship Between Rare Variants and Polygenic Risk Scoring
Study focused on finding rare-variant contributors to Parkinsons' Disease as their low frequency makes them prone to marginalization in summary statistics.
Methods
1. Scoring of individuals in dataset using meta-5 summary statistics. Scoring was done via PRSice. IDs of affected individuals with low PRS scores were stored


Quantile plot generated from PRS Scoring

2. CADD annotations done via annovar. Coding variants with high CADD scores (i.e., > 12.37) were moved into another file, along with variants annotated as nonsense SNPs, splice site errors, and indels.
3. Quality-control on ampPD genetic data using PLINK. Filtered out variants with MAF > .05. Reintroduced variants from step 2 into dataset
4. Rare Variant Analysis done via SkatO
On Genetic Contributers to Early-Onset Alzheimers Disease
Genome-Wide Association aiming to better understand genetic contributors to Early-Onset Alzhemiers Disease. This project focused mostly on rare varaints (i.e., variants with a minor allele frequency less than .05
On Genetic Causes of Parkinsons'
Training study. Genome-wide association study to uncover genetic causes of Parkinsons' disease focusing mostly on common variant contributors.

Drug Discovery '21-'22

Discovery Lab at IMSA focusing on compound growth using ligand-based drug design. PI: Dr. John Thurmond

COVID Moonshot
PostEra crowd sourced project for the discovery of SARS-CoV-2 (CoVid) therapeutics

General Interest Projects

Hotel Management System
Hotel Management System written in C++. Utilizes Object-Oriented Programming. Room Objects are stored in a Hash Table
Stock Price Prediction
Long Short-Term Memory Model utilizing stock tickers via YFinance API to predict future stock prices. Written in Python
ML Model on Consumer Data to Output Likelihood of Investment
Classification Model written in Python using Tensorflow package