About

My CV can be accessed here.

I am a master’s student at Columbia University, studying computer science with a focus on machine learning. Before coming to Columbia, I spent a year of graduate study in computational social science at the University of Chicago and two years of post-baccalaureate study in cognitive science at UC Berkeley, where I worked under Dr. Steven T. Piantadosi on computational linguistics. I majored in human-computer interaction and design in college, graduated summa cum laude, and have since received broad academic training in cognitive science, computer science, applied statistics, and machine learning.

Broadly speaking, my interest lies at the intersection of cognitive science, artificial intelligence, and statistical learning, with the emphases on: 

1. Computer Science: Taking inspirations from domain specific knowledge (e.g. cognitive science, social sciences) to create new machine learning models that are more robust, more optimized, and more intelligent. 
2. Cognitive Science: Matching or reconciling the mismatch between computational algorithm and cognitive-behavioral models and working toward a more generalized framework of learning; 
3. Cognitive Neuroscience: Understanding the functional-structural components and the organizational mechanism of human learning on the computational, algorithmic, and implementation levels;