People - DataScience

Ayan Biswas

Scientist

Ayan joined the Data Science at Scale team as a postdoctoral researcher January 2017. He received his Ph.D. in Computer Graphics and Visualization from The Ohio State University in December 2016 and has been a summer intern since 2013. He has worked with flow field data and particle tracing using streamlines and stream surfaces and on time-varying multivariate data exploration and using information theory to provide some insights into data. He is also working with turbulent flow structures and vortex visualization for the unstable time-varying complex flows.

Chris Biwer

Scientist

Chris received his Ph.D. in Physics from Syracuse University in 2017. He began his research in gravitational-wave astronomy focusing on the detection and parameter estimation of binary black hole and neutron star mergers. Since 2018, Chris has been a staff scientist in the Data Science at Scale team. His experience at Los Alamos and research interests include data analysis of physical experiments, optimization of analysis methods, and developing scientific workflows.

Vita

Roxana Bujack

Scientist

Dr. Roxana Bujack is a staff scientist in the Data Science at Scale Team at Los Alamos National Laboratory since July 2016. She graduated in mathematics and computer science and received her PhD in the Image and Signal Processing Group at Leipzig University. Then, Roxana worked as a postdoctoral researcher at IDAV at the University of California, Davis and at the Computer Graphics and HCI Group at the Technical University Kaiserslautern. Her research interests include visualization, pattern recognition, vector fields, moment invariants, high performance computing, massive data analysis, Lagrangian flow representations, and Clifford analysis.

Vita

Soumya Dutta

Scientist

Soumya is a scientist in the Data Science at Scale (DSS) team of CCS-7 at Los Alamos National Laboratory since July 2019. He worked as a postdoc in the DSS team from June, 2018 to July, 2019. Soumya got his Ph.D. in Computer Graphics and Visualization from the Ohio State University in May 2018. Prior to joining as a postdoc, Soumya was a summer student at LANL from 2015 to 2017. His areas of interest includes in situ extreme-scale data analysis and visualization, statistical data summarization and feature analysis, uncertainty quantification and visualization, and high performance computing.

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Pascal Grosset

Scientist

Pascal joined the Data Science at Scale team as a post doc in August 2016. He received his Ph.D. in Computing from the University of Utah working on visualization on High-Performance Computing (HPC) Systems. His research interest is in large-scale data visualization and analysis.

Subhashis Hazarika

Postdoctoral Researcher

Subhashis Hazarika is a Postdoctoral Researcher in the Data Science at Scale Team, within the Information Sciences Group (CCS-3). He started his postdoctoral appointment in January 2020. Subhashis has a Ph.D. in Computer Science and Engineering from The Ohio State University with a specialization in Scientific Data Visualization & Analysis. Subhashis is a DSS Summer School alumnus (2017 and 2019). His research interests include in statistical data modeling for large-scale simulations, multivariate and ensemble data visualization, in situ data analysis, interpretable and explainable machine learning, and visual analytics.

Li-Ta (Ollie) Lo

Scientist

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.

John Patchett, Deputy Team Lead

Scientist

John received a B.A. in Anthropology in 1995 and a M.S. in Computer Science in 2011, both from the University of New Mexico. His experience includes data science at scale, large-scale visualization and analysis, data-parallelism, in-situ visualization and analysis.

Jesus Pulido

Scientist

Jesus Pulido is a staff research scientist for the Data Science at Scale Team since February 2020. He received his Ph.D. in Computer Science at the University of California, Davis under Prof. Bernd Hamann in 2019. He 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.

David Rogers, Team Lead

Scientist and Team Leader

David Honegger Rogers leads the Data Science at Scale team to deliver visualization and analysis approaches to science partners at LANL and across the DOE complex. David joined LANL in 2013, after a decade of leading the Scalable Analysis and Visualization Team at Sandia National Labs, where he was instrumental in bringing in-situ analysis and visualization into production. He now focuses on interactive web-based analysis tools that integrate design, scalable analytics and principles of cognitive science to promote scientific discovery. Prior to working on large scale data analysis, David worked at DreamWorks Feature animation, writing and managing production software. He has degrees in Computer Science, Architecture (buildings, not computers), and an MFA in Writing for Children.

Terry Turton

Scientist

Terry joined the Data Science at Scale Team at Los Alamos National Laboratory in January 2018 after three years with the University of Texas at Austin. She received her B.S. in Physics from Carnegie Mellon University (1988) and an M.S. (1988) and Ph.D. (1993) in Physics from the University of Michigan. Her current research interests include perceptual user evaluation and workflow analysis in scientific visualization. She also provides technical project management for software technology projects within the Exascale Computing Project.

James Ahrens

Senior Scientist

Dr. James Ahrens of Los Alamos National Laboratory (LANL) is the founder and design lead of ParaView, a widely adopted visualization and data analysis package for large-scale scientific simulation data. ParaView has had an extremely positive impact on the large-scale data analytic capabilities available to simulation scientists around the world. Dr. Ahrens graduated in 1996 with a Ph.D. in computer science from the University of Washington. Following his graduate studies, he joined LANL as a technical staff member. At Los Alamos, he is the ISTI director and leads programmatic initiatives important to the Department of Energy’s (DOE) National Nuclear Security Administration (NNSA) Advanced Simulation and Computing (ASC) program and the Office of Science (SC) programs.

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