Resume

Biostatistician specializing in causal inference and statistical computing

Experience

West Virginia Clinical and Translational Sciences Institute

Research Assistant

January 2026 - June 2026
Morgantown, WV
  • Provide statistical consulting and data analysis support for WVU and WVU Medicine faculty research projects
  • Collaborate with clinical researchers on study design, statistical analysis, and manuscript preparation

Intangle

Software Engineer

August 2025 - January 2026
Remote
  • Built full-stack application for a nonprofit in the animal welfare space
  • Built full-stack application for a nonprofit consultancy

Rhetoric

Data Science Intern

May 2025 - August 2025
Remote
  • Built LLM-based data processing pipeline for structured information extraction from legal documents
  • Applied supervised learning techniques to predict outcomes of circuit court decisions
  • Built web app for visualization and inspection of results

Alien Encyclopedia

Contract Software Engineer

June 2024 - December 2024
Remote
  • Led development on full-stack application prototype in the education space using Next.js
  • Built RAG system for generation of educational content and built front-end and back-end systems
  • Designed and implemented hybrid LLM/traditional recommendation system using few-shot learning and collaborative filtering

West Virginia University

Research Intern

December 2023 - June 2024
Morgantown, WV
  • Developed novel training system for random forest models on time series and repeated measures data
  • Designed and implemented custom model validation pipeline to measure performance on an applied problem, showing it decreased overfitting and improved performance

Carnegie Mellon University

Research Intern

May 2022 - August 2022
Pittsburgh, PA
  • Built intuitive web-based interface for human-in-the-loop machine learning system
  • Collaborated with data science team on design of LLM-based recommendation pipeline
  • Prepared demo for strategic partnership pitch to Firefox, the only intern selected to do so

SoftBank

Software Engineer - Masason AI Incubator

June 2021 - August 2021
San Francisco, CA
  • Headed three-person front-end development team, developing project prototype in three months
  • Faced with performance issues, developed custom data structure that cut render times by 90%
  • Iterated on product-market fit by conducting 5+ user-interviews, leading to a pivot
  • Presented to CEO of Deepcore and VP of SoftBank, resulting in continued funding for the project

Research Projects

Undergraduate Capstone: Polynomial-Time Causal Identification

  • Found bug in Microsoft Research's DoWhy library (~50% of significance tests invalid)
  • Implemented fix; developed version 60% faster than Microsoft's implementation

Publication: Glenohumeral Septic Arthritis Study

  • Vettiyil B, Ashikyan O, Ware L, Wen S, Frick M. 'Glenohumeral septic arthritis in intravenous drug users: 10-year retrospective analysis at a tertiary care center in Appalachia.' Journal of Clinical Imaging Science. Status: Revise and Resubmit

Education

West Virginia University

Master of Science - MS, Biostatistics

August 2024 - May 2026
Morgantown, WV
  • 3.9 GPA

Minerva University

Bachelor of Science - BS, Computational Sciences

2019 - 2023
San Francisco, CA
  • Concentration in Data Science and Statistics

Technical Skills

Statistical Methods

Propensity score methods, GLMs, causal inference, survival analysis, Bayesian methods

Programming

Python, R, TypeScript, JavaScript, SQL

Tools

Git, LaTeX, React, Next.js