Summer School Leads

Robert Pavel

CCS-7 Applied Computer Science

Robert is a computational scientist with a background in electrical and computer engineering. He has experience in improving the performance of multi-scale physics applications through the use of task based models and NoSQL databases. His interests include evaluating the suitability of modern task based programming models with respect to scientific applications.

Robert is an alumnus of the 2013 and 2014 summer school classes

Vinay Ramakrishnaiah

CCS-7 Applied Computer Science

Vinay is a postdoctoral research associate with a background in Electrical and Computer Engineering. He has experience in programming heterogeneous computer systems and is also skilled in antenna theory, signal processing, and optimizations. His research interests include revamping the coherent collection process in time-evolving satellite collector geometries, and also developing and evaluating applications for emerging hardware architectures.

Vinay is an alumnus of the 2017 summer school class.

Summer School Mentors

Reid Priedhorsky

HPC-ENV HPC Environments

Reid is a staff scientist at Los Alamos National Laboratory. Prior to Los Alamos, he was a research staff member at IBM Research. He holds a Ph.D. in computer science from the University of Minnesota and a B.A., also in computer science, from Macalester College.

His work focuses on large-scale data analysis from both systems and applications perspectives. Recent lines of research include using social media and web traffic to monitor and forecast the spread of disease as well as developing technology to bring data-intensive computing and user-defined software stacks to existing high-performance computing systems.

In his spare time, he enjoys reading, bicycling, hiking (especially in the mountains and deserts of the American West), tinkering with things, photography, and hanging out with his wife and sons.

Wesley Paul Even

CCS-2 Computational Physics and Methods

Tim Randles


Julien Loiseau

CCS-7 Applied Computer Science

Julien is a Computer Scientist with a background in High Performance Computing and simulation. He has experience in hybrid architectures and accelerated systems. His postdoctorate work focuses on FleCSPH, a tool for Smoothed Particles Hydrodynamics simulations based on the FleCSI framework from LANL. The intent is to provide an efficient and distributed tree data structure to FleCSI that allows the work to be offloaded to accelerators. The final goal of FleCSPH is to simulate large Astrophysics events.

Julien is an alumnus of the 2016 summer school class

Joshua C Dolence

CCS-2 Computational Physics and Methods

Karen Tsai

CCS-7 Applied Computer Science

Karen is a computational scientist who is interested in understanding, designing and developing application code with the scientists. She is also a computer scientist who is interested in learning and utilizing modern computing tools to optimize algorithms or visualize complex datasets. She got her M.S. in Computational Science, Engineering and Mathematics and B.S in Computer Science at the University of Texas – Austin.

While at LANL during the summer of 2016, Karen joined data scientists from the Data Science at Scale team to work with Galen Gisler of LANL’s Integrated Design & Assessment group to produce visualizations and anaylsis of threats from asteroid ocean impacts. The work is summarized in a paper and video that have been awarded the first place in the SC16 Visualization Showcase. Returning to LANL in the following summer of 2017, she worked with the data scientist from the Data Science at Scale team to develop a pattern detection filter in VTK using Fast Fourier Transform. The serial filter is currently in VTK and the distributed filter is in the development phase. Continuing at LANL in the fall of 2017 as a Post-Master, she has also joined the Code Design team to work on the Ristra Project specifically for FleCSI.

Li-Ta (Ollie) Lo

CCS-7 Applied Computer Science

Li-Ta Lo a.k.a Ollie received a B.S. in Physics from National Chung-Hsing University in 1995 and a M.S. in Applied Mechanics from National Taiwan University in 1997. He joined Los Alamos National Laboratory in 2003, after working in the semiconductor industry for 4 years. As a multi-disciplined, multi-cultured person, he has enjoyed working with several teams and a diverse set of projects during his career at LANL. His current research interest includes data science, large-scale visualization and analysis, data-parallel programming and software engineering for scientific computing.

Allen McPherson

CCS-7 Applied Computer Science

Al is a semi-retired computer scientist working part-time as an Associate Staff Member on the BEE project. Prior to retiring in 2015 Al was the CoDesign Team Lead and founder of the Los Alamos CoDesign Summer School. Al’s current technical interest is the potential application of elastic, industrial-scale, cloud technologies to HPC. In his (copious) spare time Al enjoys cooking, hiking, and traveling with his lovely wife.

Irina Sagert

CCS-2 Computational Physics and Methods

Andrew Gaspar

CCS-7 Applied Computer Science

Andrew Gaspar is a Computer Scientist in CCS-7 with a focus on Software Engineering. He has a Computer Engineering B.Sc. from the University of Nebraska – Lincoln. After graduating in 2014, he worked at Microsoft on the Network Driver stack in Windows 10, collaborating on a next generation network device driver API geared towards high-throughput network cards. In 2017, he joined Los Alamos. He now works on code modernization efforts in Los Alamos’ established, high-value Eulerian codes, primarily on adoption of C++14 and Kokkos. He also has an interest in the Rust programming language, and researching applications of it to High Performance Computing.

Sam Jones

CCS-2 Computational Physics and Methods

Irina Demeshko

CCS-7 Applied Computer Science

Irina is a computational scientist the Co-Design Team. Her current research work is currently focused on integrating task-based run-time systems into several software projects at LANL, but, in general, her research interests lay around new HPC technologies in application to large-scale scientific simulation codes.

Patricia (Pat) Grubel

CCS-7 Applied Computer Science

Pat is a postdoctoral research associate in the Co-design Team. She has a background in electrical and computer engineering, future architectures, and performance analysis of task basked runtime systems. Her current interests lie in modeling and performance optimization of applications using task based systems, cloud computing technologies, and benchmarking new architectures.