Matthew Turk

Photo of Matthew Turk

Assistant Professor

PhD, Physics, Stanford University

222 LIS
mjturk [at]

Office Hours

By appointment

Research Focus

Data analysis and visualization, social structures of academic software communities, information transmission through software.

Other Professional Appointments

Assistant Professor, Astronomy
Faculty Affiliate, NCSA


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.


Data Visualization (IS590DV)

Research Projects


The yt project aims to produce an integrated science environment for collaboratively asking and answering astrophysical questions. To do so, it will encompass the creation of initial conditions, the execution of simulations, and the detailed exploration and visualization of the resultant data. It will also provide a standard framework based on physical quantities interoperability between codes.

The Whole Tale

Scholarly publications today are still mostly disconnected from the underlying data and code used to produce the published results and findings, despite an increasing recognition of the need to share all aspects of the research process. As data become more open and transportable, a second layer of research output has emerged, linking research publications to the associated data, possibly along with its provenance. This trend is rapidly followed by a new third layer: communicating the process of inquiry itself by sharing a complete computational narrative that links method descriptions with executable code and data, thereby introducing a new era of reproducible science and accelerated...

Selected Publications, Papers, and Presentations

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.

Kamdar, H., Turk, M., Brunner, R., "Machine Learning and Cosmological Simulations - II. Hydrodynamical Simulations," submitted to Monthly Notices of the Royal Astronomical Society.

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.

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).

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).





Related Topics

Archives and Preservation, Data Analytics, Data Curation, Design and Evaluation of Information Systems and Services, Ethics and Values for Information, Information Access, Information Retrieval, Informetrics, Organization of Knowledge and Information, Science Processes