Welcome to my personal website! I am currently in my third year of pursuing a Ph.D. in Biostatistics at the University of Michigan. My academic journey revolves around a passion for developing computational-efficient Bayesian models that address real-world challenges. My doctoral dissertation is focused on non-invasive EEG-based Brain-Computer Interfaces (BCIs).
Interests
- Brain-Computer-Interface
- Machine Learning
- Bayesian Modeling
- Large Language Models
- Generative AI
Education
University of Michigan | Ann Arbor, MI
Ph.D. in Biostatistics | Sep.2021 — Apr.2025
University of Michigan | Ann Arbor, MI
M.S. in Biostatistics (Health Data Science Concentration) | Sep.2019 — May.2021
Skills
(Advanced Proficiency)
- Deep knowledge and extensive experience in libraries such as TensorFlow, PyTorch, Matplotlib, Pandas, and Pygame.
(Advanced Proficiency)
- Highly skilled in using packages like ggplot2, dplyr and tidyverse.
- Experienced in designing and deploying interactive web applications with R Shiny.
- Proficient in developing and maintaining R packages.
- Data Querying.
- Linux:
- Competent in Shell Scripting and System Operations.
- Familiar with Slurm for Parallel Computing.
- Git:
- Experienced in Version Control and collaborative software development.
Accomplishments
- JSM 2023 Student Paper Award (Biometrics Section) Link