Erik M Lindgren

I am a graduate student at the University of Texas at Austin in the department of Electrical and Computer Engineering, where I am advised by Prof. Alex Dimakis. I am interested in machine learning, combinatorial optimization, and information theory. I received my bachelor's degree from Boston University.

I have interned at Google, where I worked on machine learning with the Ground Truth team, and Lattice Automation, where I worked on algorithms for synthetic biology.

You can contact me at erikml@utexas.edu.

Publications

Exact MAP Inference by Avoiding Fractional Vertices
E. M. Lindgren, A. G. Dimakis, A. R. Klivans
[paper]
ICML, 2017

Leveraging Sparsity for Efficient Submodular Data Summarization
[paper] [video]
E. M. Lindgren, S. Wu, A. G. Dimakis
NIPS, 2016

A Rule-Based Design Specification Language for Synthetic Biology
[journal link]
E. Oberortner, S. Bhatia, E. M. Lindgren, D. Densmore
ACM Journal on Emerging Technologies in Computing Systems, 2014