I am a clinical biostatistician at the National Institute of Mental Health. I lead human behavioral research in the Unit on the Neural Computations in Learning (PI: Angela Langdon).
I received my Ph.D. in Neuroscience from Princeton University in 2023, advised by Yael Niv and Nathaniel Daw. In my doctoral research, I studied the structure of individual differences in reinforcement learning using cognitive and structural equation modeling.
I am broadly interested in psychometrics and statistical approaches for analyzing all types of clinical data. I also build software to make science easier (e.g., jspsych-demos, OpenData).
Feel free to contact me via email.