As both a researcher and an engineer I am interested in problems of high dimension and efficient methods of scaling learning under the presence of massive data sets. I am particularly interested in the scalability, design, and architecture decisions that arise within real-time recommender systems such as music recommendation. In my free time I am an avid rock climber, photographer, and music lover. I enjoy traveling across the world to remote climbing destinations, experiencing music from a multitude of cultures, and snapping a corpus of photos along the way. Selected Publications Christopher C. Johnson, Ali Jalali, Pradeep Ravikumar, "High-Dimensional Sparse Inverse Covariance Estimation using Greedy Methods", AISTATS (selected for oral) Ali Jalali, Christopher C. Johnson, Pradeep Ravikumar, "On Learning Discrete Graphical Models Using Greedy Methods", NIPS (spotlight paper) See httpwww.cs.utexas.educjohnson for more information.read more ...read less ...
java
rock climbing
ruby on rails
university of texas at austin
Daniel Hand High School
The University Of Texas At Austin
Software Engineer At Lockheed Martin
Summer Research Intern At University Of Maryland
Graduate Research Assistant Gra At University Of Texas At Austin
Teaching Assistant Ta At University Of Texas At Austin
Summer Research Fellow At Mit Lincoln Laboratory
Software Engineer At Blackboard
Summer Research Fellow At Massachusetts Institute Of Technology
Software Engineering Intern At The Hartford Insurance Group
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