Jill Naiman
Assistant Professor
PhD, Astronomy and Astrophysics, University of California, Santa Cruz
Other professional appointments
- Faculty Affiliate, NCSA
Research focus
Data visualization, scientific digitization with machine learning methods, image processing.
Biography
Jill Naiman is an assistant professor in the School of Information Sciences at University of Illinois Urbana-Champaign and a faculty affiliate at the National Center for Supercomputing Applications, where she researches how to use machine learning (and AI) for science applications and to help us digitize and access historical scientific literature. She also teaches data visualization and data storytelling.
Before her current appointment, she completed National Science Foundation and Institute of Theory and Computation Postdoctoral fellowships at the Harvard-Smithsonian Center for Astrophysics. Her PhD is in astronomy and astrophysics from the University of California, Santa Cruz, where she studied feedback in star clusters with numerical simulations, and later simulations of galaxy formation.
Courses currently teaching
Publications & Papers
Clustering-informed Cinematic Astrophysical Data Visualization with Application to the Moon-forming Terrestrial Synestia, Aleo, Patrick D.; Lock, Simon J.; Cox, Donna J.; Levy, Stuart A.; Naiman, J. P.; Christensen, A. J.; Borkiewicz, Kalina; Patterson, Robert. 2020. https://arxiv.org/abs/2006.00084
Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini, Borkiewicz, Kalina; Naiman, J. P.; Lai, Haoming. July 2019. DOI: 10.3847/1538-3881/ab1f6f
Houdini for Astrophysical Visualization, Naiman, J. P.; Borkiewicz, Kalina; Christensen, A. J. May 2017. DOI: 10.1088/1538-3873/aa51b3
AstroBlend: An astrophysical visualization package for Blender, Naiman, J. P. April 2016. DOI: 10.1016/j.ascom.2016.02.002