Travis Martin

I'm interested in computer science theory and its applications, especially machine learning, network science, graph algorithms and mechanism design.

I'm a Software Engineer at Recursion Pharmaceuticals, working at the intersection of data engineering and biology.

Previously, I was a Software Engineer at Google in the Research & Machine Intelligence division, building on-device ML into Android.

I completed my CSE PhD at UMich in June 2016, advised by Mark Newman and Mike Wellman. Check out my code or CV!

Publications

Exploring limits to prediction in complex social systems --- slides
Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts, World Wide Web (2016)
Structural inference for uncertain networks
Travis Martin, Brian Ball, M. E. J. Newman, Phys. Rev. E 93, 012306 (2016)
Identification of core-periphery structure in networks --- slides
Xiao Zhang, Travis Martin, M. E. J. Newman, Phys. Rev. E 91, 032803 (2015)
Equitable random graphs
M. E. J. Newman, Travis Martin, Phys. Rev. E 90, 052824 (2014)
Localization and centrality in networks
Travis Martin, Xiao Zhang, M. E. J. Newman, Phys. Rev. E 90, 052808 (2014)
Characterizing strategic cascades on networks
Travis Martin, Grant Schoenebeck, Michael P. Wellman, EC (2014)
Coauthorship and citation in scientific publishing
Travis Martin, Brian Ball, Brian Karrer, and M. E. J. Newman, Phys. Rev. E 88, 012814 (2013)
The small-world effect is a modern phenomenon
Seth A. Marvel, Travis Martin, Charles R. Doering, David Lesseau, M. E. J. Newman
Mathematical equations as executable models of mechanical systems
Y Zhu, E Westbrook, J Inoue, A Chapoutot, C Salama, M Peralta, T Martin, W Taha, M O'Malley, R Cartwright, A Ames, R Bhattacharya, ICCPS 1, 1 (2010)

I live and work in Salt Lake City, UT.
My gmail is nitramsivart.