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about

From 2016-2017, I am attending Princeton’s M.S.E. Program in Computer Science. I’m currently applying to Ph.D. programs in Computer Science, Statistics, and Applied Math.

I graduated from Princeton with an A.B. Mathematics degree with honors in 2016.

My primary area of theoretical research is provable algorithms and models for computational inference and optimization. I am particularly interested in applications to natural language understanding and neuroscience.

I am currently a member of Professor Sanjeev Arora’s Unsupervised Learning Group, which studies provable methods for various unsupervised algorithms. Some applications of particular interest relate to natural language understanding. I am also supervised by Professor Ken Norman at the Princeton Neuroscience Institute.

For more details, either check out this website or see the essentials summarized in my curriculum vitae .