Daniel Mitropolsky
PhD Student, Columbia University
Daniel Mitropolsky is a PhD student at Columbia University, advised by Christos Papadimitriou and Tal Malkin. His main interest is the computational and mathematical theory of the brain, especially understanding the brain's algorithms behind language, and possible applications to AI. In complexity theory, he also works on the theory of total functions and their connection to cryptography. Before the PhD, Dan worked for Google, and completed his B.S. in Mathematics and in Computer Science at Yale.