Nicholas Johnson
Ph.D. Candidate Department of Computer Science and Engineering
University of Minnesota
njohnson [AT] cs.umn.edu
Learning to Predict blog
Online Portfolio Selection Project

Research

My advisor is Arindam Banerjee and co-advisor is Maria Gini. I'm broadly interested in Artificial Intelligence and Machine Learning. In particular, my focus has been on online learning algorithms, convex optimization, adversarial learning models, and recommender systems. The application areas I have worked in are finance (portfolio selection), climate science (forecasting), internet content serving (news article recommendations), and cancer genomics.

Publications

Under review

Awards

Education

Teaching

The views and opinions expressed in this page are strictly those of the page author.
The contents of this page have not been reviewed or approved by the University of Minnesota.