Namhwa Lee
Hello, I’m Namhwa Lee, a 5th year Ph.D. Candidate in Statistics at University of California, Riverside, under the supervision of Dr. Shujie Ma.
My primary research interest lies in causal inference, with a focus on applying these methodologies to real-world challenges in healthcare, policy, and education. I am particularly interested in developing robust statistical methods for causal inference, especially in the context of addressing unmeasured confounders in observational data. Additionally, I am keen to explore social disparities using causal mediation analysis and dynamic treatment regimes. I am also eager to expand my research by incorporating more flexible statistical modeling approaches, including mixture modeling, machine learning and nonparametric or semiparametric statistical techniques.
Recent News
- I am open to work, specializing in causal inference, statistical or quantitative methods.
- Feb. 2025: Awarded the Dissertation Completion Fellowship Award (DCFA) for Spring/Summer 2025.
- Jan. 2025: Received the Health Policy Statistics Section (HPSS) Student Paper Competition Award at the Joint Statistical Meetings (JSM) 2025.
- Aug. 2024: Excited to present my first research project at JSM 2024—marking my first academic conference presentation!
- May. 2024: Honored to receive the Outstanding Teaching Assistant Award.
Contact Info: Email Address
- nlee098@ucr.edu or
- 2navism@gmail.com
Fun Fact About Myself
I was the president of the SKKU Go (Baduk) club. When AlphaGo, developed by Google DeepMind, played against Lee Sedol, one of the world’s top Go players at the time, I recruited new club members by streaming the historic match. As a Baduk trainee, I was confident that Lee Sedol would dominate the game, testing DeepMind’s AI against human expertise. However, as we all know, AlphaGo decisively defeated Lee Sedol, and this moment profoundly changed my perspective toward the technology. (I’ve forgotten most of my Baduk strategies over time ^_^)