Curriculum Vitae

Education

Ph.D. in Biostatistics, University of Pittsburgh (Aug 2021 – May 2026, GPA: 3.85)
B.S. in Statistics & B.S. in Mathematics, University of North Carolina at Chapel Hill (Sep 2017 – May 2021, GPA: 3.85)
- Honors: Phi Beta Kappa, Dean’s List

Programming:
R, R Shiny, Python, STATA, SQL, Bash (proficient); Java, C++, SAS (familiar)
Statistical & ML:
Bayesian modeling, optimization, machine learning, deep learning (PyTorch), causal inference
Research:
High-dimensional multi-omics, longitudinal analysis, circadian rhythmicity methods
Tools & Platforms:
Scanpy, Seurat, VAE, GMM, AWS, Google Colab, STAR, Hisat2

Senior Statistician Intern, Otsuka (May 2025 – Aug 2025)
- Contributed to the design and analysis of a clinical trial focused on kidney disease
- Assisted in preparing statistical analysis plans and clinical study reports
Graduate Research Assistant, UPMC – University of Pittsburgh (Aug 2021 – Present)
- Developed and applied Bayesian/machine learning models for large-scale omics data
- Investigated circadian biomarker detection techniques
- Performed multi-modal data integration and domain adaptation
Graduate RA, Department of Infectious Disease (Aug 2023 – Present)
- Employed GEE and mixed-effects models for HIV data
- Conducted a longitudinal mediation analysis on dry needling interventions
Undergraduate RA, Carolina Center for Neurostimulation (Aug – Dec 2019)
- Modeled cortical synchrony using Python and MATLAB
Research Intern, Hill-Rom, NC (Jun – Aug 2020)
- Performed exploratory analyses and literature review for pediatric sepsis prediction

Phoneme Recognition
- Employed CNNs, RNNs, and VAEs for accurate audio-text alignment
Diffusion Models
- Implemented DDIM and EMA on ImageNet-100 to explore class-specific performance

Graduate TA, University of Pittsburgh
- BIOST 2086: Mixed Models (Spring 2024)
- BIOST 2050: Longitudinal Data Analysis (Fall 2023)
- BIOST 2041: Statistical Methods (Spring 2022)
- BIOST 2038: Statistical Theory (Fall 2021, 2022)
Institute for Clinical Research Education
- CLRES 2020/2005: Biostatistics & Computing (Summers 2022, 2024)
Undergraduate TA, UNC-Chapel Hill
- MATH 547: Linear Algebra (Fall 2019)

Travel Funding Award – STATGEN Conference (2025): Awarded for presenting research on Bayesian modeling for cross-species circadian rhythm congruence analysis
Dean’s Day Biostatistics Doctoral Award (2025)
Outstanding Teaching Assistant (TA) Award (2025)
Phi Beta Kappa, University of North Carolina - Chapel Hill (Top 1%)
International Championship of Collegiate A Cappella (ICCA) Semi-Finalist (2019 & 2020)
Multiple “Outstanding Student” awards, Pham Ngoc Thach University of Medicine
City-Level Biology Olympiad Winner (2013 & 2014)