Our Speakers

Katrin Heitmann

Katrin Heitmann is a Physicist and Computational Scientist at Argonne National Laboratory in the High Energy Physics Division. She is also a Senior Member of the Kavli Institute for Cosmological Physics at the University of Chicago and a member of NAISE at Northwestern. Before joining Argonne, Katrin was a staff member at Los Alamos National Laboratory. Her research currently focuses on computational cosmology, in particular on trying to understand the causes for the accelerated expansion of the Universe. She is responsible for large simulation campaigns with HACC and for the tools in the associated analysis library, CosmoTools. Katrin is a member of several major astrophysical surveys that aim to shed light on this question and is the currently the Computing Coordinator for the LSST Dark Energy Science Collaboration.

Hannah Ross

Hannah Ross started her academic career by studying natural sciences (physics and computer science) at Durham University. She then went on to do a PhD with Ilian Iliev at the University of Sussex where she worked on radiative transfer simulations of X-ray heating and ionization from the first galaxies. She is now a postdoctoral scholar at Lawrence Berkeley National Lab working with Zarija Lukic on simulating the large scale structure of the Universe as part of the exascale computing project.

Aaron Knoll

Aaron Knoll is a Graphics Engineer at Intel Corporation. He received his Ph.D. from the University of Utah in 2009. His interests include ray tracing, volume rendering and large scale scientific visualization.

Peter Messmer

Peter Messmer is a senior manager at NVIDIA, responsible for the HPC visualization efforts. After spending more than 15 years performing fundamental research using massively parallel systems and developing HPC- and GPU-accelerated applications for industry and government clients, he joined NVIDIA to help clients using GPUs to accelerate their scientific discovery processes. Peter holds an MSc and PhD in physics from ETH Zurich, Switzerland, with specialization in kinetic plasma physics and nonlinear optics.

Jesus Pulido

Jesus Pulido is a staff research scientist at the Los Alamos National Laboratory (LANL), as part of Data Science at Scale (DSS) Team in the Applied Computer Science Group in CCS-7. Pulido received his Ph.D. in Computer Science at the University of California, Davis under Prof. Bernd Hamann in 2019. Pulido specializes in data analysis, data reduction, visualization, high performance computing, wavelets and multi-resolution methods. He has experience in applications of image sensors, astronomy, turbulence and cosmology.

Joe Insley

Joseph Insley is the Team Lead for Visualization and Data Analysis at the Argonne Leadership Computing Facility. He received his M.S. in Computer Science and M.F.A. from the University of Illinois at Chicago. His research interests include the development of parallel and scalable methods for large-scale data analysis and visualization and in situ workflows on current and next-generation systems.

Anders Ynnerman

Professor Anders Ynnerman received a Ph.D. in physics from Gothenburg University, Sweden. During the early 90s, he was at Oxford University, UK, and Vanderbilt University, USA. From 1997 to 2002, he directed the Swedish National Supercomputer Centre, and from 2002 to 2006, he directed the Swedish National Infrastructure for Computing (SNIC). Since 1999, he holds the chair in scientific visualization at Linköping University and is the director of the Norrköping Visualization Center C. Ynnerman is a member of the Swedish Royal Academy of Engineering Sciences and the Royal Swedish Academy of Sciences. In 2007 Ynnerman was awarded the Akzo Nobel Science award and in 2010 he received the Swedish Knowledge Award for dissemination of scientific knowledge to the public. In 2017 he was honored with the King’s medal for his contributions to science and in 2018 he received the IEEE VGTC technical achievement award.

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