ORCID
Scholars@Duke
Education
2025 — Present
PhD, Biostatistics
Duke University
2021 — 2025
BS, Biometry and Statistics
Cornell University · Minor in Computer Science
Merrill Presidential Scholar
Distinction in Research
Cum Laude
Research Experience
May 2023 —
Sep 2024
Sep 2024
Research Intern
Harvard Medical School & Massachusetts General Hospital · Laboratory for Systems Pharmacology· Boston, MA
Investigated drug repurposing for Alzheimer's and Parkinson's disease using causal inference and causal discovery methods on patient data. Developed federated approaches to target trial emulation across distributed health systems.
May 2022 —
May 2023
May 2023
Data Science Intern
MIT Lab for Computational Physiology · Cambridge, MA
Conducted applied data science research on clinical datasets. Contributed to projects in health data engineering and statistical analysis of physiological signals.
Jun 2020 —
Aug 2021
Aug 2021
Machine Learning Intern
Harvard Medical School · Boston, MA
Prepared and managed clinical data using Python and R. Developed an algorithm for cleaning and translating medical records. Contributed to the construction and training of an NLP model. Conducted a literature review of public datasets focused on adverse drug reactions.
Jan 2022 —
Dec 2023
Dec 2023
Team Lead · Project Lead
Cornell Data Science · Ithaca, NY
Led applied machine learning project teams, managed technical roadmaps, and mentored junior members.
Publications
Journal
Article
Article
A pilot study evaluating mid-point vancomycin concentrations to estimate pharmacokinetics and area under the curve: a prospective study
+ Conference Abstract
An evaluation of single mid-interval vancomycin concentrations in critically ill cancer patients, assessing their ability to estimate AUC24, clearance, and volume of distribution compared to Bayesian peak–trough methods, and suggesting a simpler alternative for therapeutic drug monitoring.
Workshop Poster
HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis
HLSTransform is an open-source FPGA accelerator for Llama 2 that leverages High-Level Synthesis and 8-bit quantization to achieve an 8.25x reduction in energy per token compared to a GPU while maintaining 53% of its inference speed, demonstrating a high-efficiency alternative for LLM deployment on edge hardware.
Journal
Article
Article
Patient diversity and author representation in clinical studies supporting the Surviving Sepsis Campaign guidelines for management of sepsis and septic shock 2021: a systematic review of citations
+ Conference Abstract
A systematic review assessing the generalizability of the Surviving Sepsis Campaign 2021 guidelines by examining racial, sex, and geographic diversity of patients enrolled in supporting clinical studies, as well as demographic representation among authorship teams.
Journal
Article
Article
Sociodemographic disparities in ophthalmological clinical trials
An analysis of sociodemographic representation across ophthalmology clinical trials studying conditions including diabetic retinopathy, myopia, age-related macular degeneration, glaucoma, and keratoconus, identifying enrollment gaps that may limit the generalizability of findings.
Teaching
2025 — Present
Graduate Teaching Assistant
Duke University · Department of Biostatistics & Bioinformatics
BIOSTAT 821 — Software Tools for Data Science
BIOSTAT 721 — Introduction to Statistical Computing
BIOSTAT 721 — Introduction to Statistical Computing
Jul – Aug 2022
Teaching Assistant, BeaverWorks Summer Institute
MIT Lincoln Laboratory · Cambridge, MA
Course Medlytics: data science and deep learning with medical data geared for high school students.
Jul 2022
Teaching Fellow, Summer Program in Clinical Effectiveness
Harvard T.H. Chan School of Public Health · Boston, MA
Course BST 209: Designed a course materials for a week-long datathon challenge geared for healthcare professionals. Coached a physician team building an event-prediction model.