Data Science · Clinical Research · Public Health · Future Physician
I build reproducible data science projects focused on healthcare systems, public health, and clinical research.
I'm a first year Medical Student at the University of Toledo College of Medicine and Life Sciences and I graduated from Michigan State University (4.00 GPA, Dean’s Research Scholar) with a bachelors in Data Science and a bachelors in Biotechnology.
My work focuses on using statistical modeling, data pipelines, and clear visualization to study healthcare access, clinical outcomes, and system-level inefficiencies, with growing interest in EMR-based research and real-world clinical data.
| Project | Description | Stack |
|---|---|---|
| MSU Curriculum Maps (Capstone) | Built a reproducible pipeline to transform university curriculum data into prerequisite networks and compute structural metrics (blocking factor, delay factor), enabling data-informed curriculum design and analysis. | Python, Julia, CurricularAnalytics |
| Measles Comeback, Vaccination Gaps and Outbreak Risk | Analyzed CDC, WHO, and Census data to show how vaccination gaps and exemption rates correlate with measles outbreak risk across U.S. states and over time. | Python, pandas, matplotlib |
| Medical Admissions Gap Year Analysis | Investigated AAMC admissions trends to quantify how gap years impact physician workforce timing, introducing a “physician-years” framework to measure systemic delay. | Python, Jupyter, statistical analysis |
| NYC 311 Service Request Analysis | Built an AWS pipeline (S3, Athena, SageMaker) to model complaint resolution time at intake, improving baseline prediction and analyzing service patterns across agencies. | AWS, SQL, Python, scikit-learn |
| Curser | Developed an interactive app that detects phonetic collisions across languages to prevent unintended or offensive naming. Live App | Python, Streamlit, Whisper, NLP |
| Immune Response GWAS FDR Analysis | Compared false discovery rate correction methods in a GWAS, demonstrating how method choice alters SNP-level findings in immune response data. | R, genomics, statistical testing |
- Preparing to begin medical school while building a foundation in clinical and translational data science
- Working toward EMR-based research, including cohort definition, phenotype construction, and outcomes analysis
- Continuing research on medical admissions systems, workforce timing, and healthcare access
- Expanding projects that combine data science with real-world clinical and public health questions
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Undergraduate Research Ambassador, Michigan State University
Advised students on research involvement, led workshops, and supported research accessibility initiatives -
Undergraduate Research Assistant, Hamberger Lab
Plant biotechnology research on regulatory elements for targeted terpene production in sorghum -
Independent Researcher, Cesario Lab
Bayesian modeling of stereotypes using diagnostic ratios, including full project design and statistical analysis -
Medical Assistant, Jagannathan Neurosurgery
Supported patient care, EMR documentation, and clinical workflow in a high-volume neurosurgery practice
