A fast crowdsourced vote aggregation algorithm
Research Internship at the University of Tokyo in the summer of 2018
Research Internship at Robert Bosch in the summer of 2017
Application of momentum in second order methods, such as Newton's method and BFGS
Implementation of the model described in "Training deep neural nets to aggregate crowdsourced responses." by Gaunt et al.
Techniques to effectively perform multi-label classification from a very large set of labels
A program that simulates answers given by a crowd to multiple choice questions with either a single or multiple answers correct, and writes it to a CSV