Los Alamos National LaboratoryInformation Science and Technology Institute (ISTI)
Implementing and fostering collaborative research, workforce and program development, and technical exchange

The Information Science & Technology Institute

The Information Science and Technology Institute (ISTI) is one of the six strategic centers organized under the National Security Education Center at Los Alamos. ISTI is chartered to foster high-quality research efforts, specialized recruiting, and strategy development that will enable LANL’s Information Science & Technology (IS&T) Pillar and advance new IS&T ideas. 

ISTI sponsors opportunities for strategic research as well as training and development for students, postdocs, and staff at Los Alamos National Laboratory. These activities include summer school programs, student and postdoc fellow programs, rapid response research calls, university collaborations, training workshops, and seminar talks.

Please click on the tabs above to learn more about ISTI’s activities.

IS&T Researcher Spotlight

Mateusz Wilinski - ISTI Postdoctoral Fellow

Mateusz Wilinski has been working as a postdoc with LANL since September 2020. Wilinski is from Poland, where his academic career began at the University of Warsaw. He studied math and physics and later acquired a masters in both subjects while attending the university. He then later earned his PhD in physics from the institution at the end of 2017.

Wilinski has earned numerous recognitions for his work, including Best PhD dissertation awarded during The Symposium of Interdisciplinary Physics of Socio-Economic Sciences in 2017. Wilinski has been invited to present his research at venues and institutions all over Europe, Asia, and Northern America. While Wilinski was a postdoc in the Quantitative Finance Research Group of Scuola Normale Superiore di Pisa, he developed an interest in dynamics on networks. His research in this area eventually brought him to Los Alamos.

Today, Wilinski is working on algorithms capable of recovering dynamics on network models in the regime of partial observations. His goals include creating algorithms that work when data is missing certain variables within it as well as creating algorithms that are more efficient, reliable, and better help predict outcomes to large world related problems.

News & Announcements

The 2022 IEEE SciVis Contest

Wildfire behavior is a result of complex nonlinear interactions between a variety of physical processes and chemical reactions. Understanding the coupling between these components and the ways in which their interactions are influenced by their surrounding environment is a challenging undertaking. The 2022 IEEE SciVis Contest is focused on the visualization and analysis of simulations of wildfires from LANL's Higrad/Firetec simulation codes. More specifically, we explore a recently-identified phenomena known as vorticity-driven lateral spread in hilltop and canyon environments.

Details regarding the contest and data can be found at https://www.lanl.gov/projects/sciviscontest2022/. If you have any questions, please contact Divya Banesh at dbanesh@lanl.gov.

Northern New Mexico Community Data Sprint connects local nonprofit and education organizations with LANL data scientists to solve data-related problems for the benefit of Northern New Mexico.

ISTI congratulates the organizers of the first Northern New Mexico Community Data Sprint held last summer. Eleven LANL data scientists worked jointly with Northern New Mexico College, Santa Fe Community College, and Rocky Mountain Youth Corps to help these organizations analyze their data to gain useful information and insights about their programs. Two teams of data researchers from LANL spent an intensive week on projects proposed by the organizations. The colleges' project focused on improving student retention rates by analyzing risk factors and signs of academic and professional success. Rocky Mountain Youth Corps provides workforce development training and educational programs to young people in New Mexico, and its staff requested assistance in reviewing its data to understand the general impact of its programs as well as its performance in gender diversity.

More details about the Northern New Mexico Community Data Sprint can be found in the October 2021 edition of LANL’s Community Connections newsletter.

ISTI is pleased to sponsor this effort in collaboration with the LANL Community Partnerships Office. ISTI thanks project organizers Lissa Moore and James Wernicke along with their team of data scientists for their efforts to assist these Northern New Mexico organizations.

LANL Hosts Successful Winter Wildfire Camp Targeting Native American Students

ISTI was proud to support the successful Winter Wildfire Camp held on December 7-18, 2020. Twelve undergraduate students, the majority of whom were Native American, participated in this two-week event that taught them how to use data analysis and visualization software to develop wildfire simulations. The camp is part of a multi-year initiative led by LANL’s Student Programs Office to increase the number of Native American student interns at the Lab. 

ISTI congratulates camp organizer Cassandra Casperson of the Student Programs Office, camp technical leaders Rod Linn in EES-16 and John Patchett in CCS-3, and all of the mentors who participated in the event for their work to create a rewarding experience for the students who attended. 

For more information, please see the February 2021 edition of LANL’s Community Connections newsletter.

To receive announcements on ISTI seminars and other activities, go to: register.lanl.gov--> mailing lists--> subscribe to a list and input istiseminars@lanl.gov. Alternatively, send an email to istisupport@lanl.gov