About

I'm an Integrative Computational Neuroscience (ICoN) Fellow at the McGovern Institute, MIT. 

I received my PhD from the University of California, Berkeley in 2022 where I designed large-scale neuroimaging studies to build maps and models of the human cerebellum.


At MIT, I'm using computational approaches to identify risk predictors of neurodevelopmental (e.g., ADHD, ASD) and psychiatric (e.g., suicide attempt) disorders.

In the interest of transparency and accountability, I document the progress I'm making on current MIT projects here.

I will be on the job market in Fall 2024 and I'm looking to build a research group that explores the role of the cerebellum in neurodevelopmental disorders using neuroimaging, neuropsychology, machine learning, and electronic health records