PhD, Physics, Stanford University
Matthew Turk is an assistant professor in the School of Information Sciences and also holds an appointment with the Department of Astronomy in the College of Liberal Arts and Sciences. His research is focused on how individuals interact with data and how that data is processed and understood. He received his doctoral degree in physics from Stanford University in 2009. He completed postdoctoral work at the University of California at San Diego and an NSF Fellowship in Transformative Computational Science at Columbia University. He came to Illinois in 2014 to work as a research scientist at the National Center for Supercomputing Applications and as a research assistant professor in the Department of Astronomy.
Publications & Papers
Katz, D.S., Allen, G., Hong, N., Cranston, K., Parashar, M., Proctor, D., Turk, M., Venters, C., Wilkins-Diehr, N., (2014). Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1). Journal of Open Research Software. 2(1), p.e6. doi.org/10.5334/jors.an
Kamdar, H., Turk, M., Brunner, R., "Machine Learning and Cosmological Simulations - II. Hydrodynamical Simulations," submitted to Monthly Notices of the Royal Astronomical Society. arxiv.org/abs/1510.06402
Holtzman, B., Candler, J., Turk M., and Peter, D., "Seismic Sound Lab: Sights, Sounds and Perception of the Earth as an Acoustic Space," Lecture Notes in Computer Science, in press, Oct. 2013. link.springer.com/chapter/10.1007/978-3-319-12976-1_10
Turk, M., "How to Scale a Code in the Human Dimension," Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery (XSEDE13). arxiv.org/abs/1301.7064
Turk, M., Smith, B.D., Oishi, J.S., Skory, S., Abel, T., Norman, M.L., "yt: A Multi-Platform Analysis Toolkit for Astrophysical Simulation Data," Astrophysical Journal Supplements, Volume 192, Issue 9 (2011). arxiv.org/abs/1011.3514