-
HPyX: Bringing High-Performance Parallelism to Python

Partners: Hartmut Kaiser, Rod Tohid, Andrew Lumsdaine SSEC Engineers: Don Setiawan, Ayush Nag Research Goals and Domain HPyX bridges the gap between Python and high-performance computing by providing Python bindings to the HPX C++ Parallelism Library. HPX implements modern C++ concurrency and parallelism features, enabling scalable execution across multi-core and distributed systems. HPyX leverages Python 3.13’s free-threading capabilities and Nanobind to expose these features…
-
Senator Patty Murray visits eScience after securing $10M in federal funding for AI infrastructure

We had the honor of hosting Senator Patty Murray at the eScience Institute after she secured $10 million in federal funds for AI infrastructure at UW. Senator Murray attended four research presentations powered by UW computing resources with practical applications ranging from environmental management to rural hospitals. Check out Geekwire’s coverage of the Senator’s visit…
-
Agentic AI for Research Workflows: SSEC hosts AI Panel

This fall, the UW Scientific Software Engineering Center (SSEC) hosted a community-driven meetup during Seattle AI Week focused on how AI is reshaping research workflows in academia, industry, and startups. The meetup included a panel moderated by SSEC Head of Engineering Vani Mandava and featuring Bodhisattwa Majumder from AI2, Shamsi Iqbal from Microsoft, Luke Kim from Spice AI and Carlos Garcia Jurado Suarez from SSEC. Around sixty audience members listened as panelists discussed…
-
Protein Design Pipeline: Standardizing Reproducibility

Partners: Andrew Hunt, Magnus Bauer, Jasper Butcher, Rohith Krishna, Saman Salike SSEC Research Engineer: Anant Mittal Research Goals and Domain The University of Washington Institute for Protein Design (IPD), led by Nobel Prize-winning Director David Baker, is a cutting-edge research center that creates entirely new proteins to address challenges in medicine, technology, and sustainability through the application of novel artificial intelligence tools and experimental science. Applications of…
-
OVRO-LWA Platform: Driving Accessibility

Partners: Casey Law, Nikita Kosogorov, Tanazza Khanam, Tom Morrell SSEC Engineers: Don Setiawan, Cordero Core, Ishika Johari Research Goals and Domain The Owens Valley Radio Observatory, Long Wavelength Array (OVRO-LWA) is a low-frequency (15–85 MHz) all-sky radio telescope designed to detect and study phenomena such as auroral emissions from exoplanets, gravitational wave counterparts, cosmic-ray air showers, and the 21-cm signal from the…
-
Antenna: AI-Powered Entomology

Partners: David Rolnick, Michael Bunsen, Francis Pelletier, Anna Viklund, Mohamed Elabbas SSEC Engineers: Carlos Garcia Jurado Suarez, Bhagyashree Wagh Research Goals and Domain The Antenna project studies entomological biodiversity through cutting-edge technologies that are revolutionizing the way insect images are collected, identified, and monitored using AI-powered camera traps, machine learning algorithms, and scalable data platforms deployed across diverse ecosystems. Entomological biodiversity is crucial for healthy ecosystems due to their role in key factors such…
-
CA Biositing Tool: Leveraging High-Resolution Data

Partners: Corinne Scown, Tyler Huntington, Peter Smith, Andrea Bailey, Meili Gong SSEC Engineers: Niki Burggraf, Don Setiawan, Vraj Rajpura Research Goals and Domain The BioCircular Valley project aims to develop sustainable products from agricultural waste by creating a publicly accessible web application consisting of interactive map that shows feedstock types, availability, downstream fuel performance, and environmental impact to facilitate the circular bioeconomy in California’s Northern San Joaquin Valley. The application will help researchers, policymakers, and industry stakeholders…
-
The UW Scientific Software Engineering Center is now accepting pilot projects for AI workflows

The Scientific Software Engineering Center (SSEC) at UW provides researchers and scholars with access to professional software engineers using state of the art software and hardware to develop open-source, secure, robust, and sustainable software. SSEC software engineers solve challenging problems across a breadth of disciplinary domains by employing modern software development best-practices to build open source software at scale, leveraging cutting-edge technologies including agentic-AI, generative-AI, machine learning, cloud computing, scalable deployment optimization, and peta-scale data management. In collaboration with agencies and…
-
The 2025 Humanities Data Science Summer Institute: Celebrating Three Years of Interdisciplinary Collaboration

This summer the UW Data Science Minor, in collaboration with eScience, offered the third iteration of the Humanities Data Science Summer Institute (HDSSI). Undergraduates, graduate students, and faculty from several university departments gathered to work together on humanities data science research projects. During this collaborative process, students attended training sessions with guidance from HDSSI co-founders…
-
Software for Phylogenetic Trees: SSEC co-organizes Workshop in London

This September, SSEC’s Don Setiawan traveled to London to co-organize a workshop with collaborators at the University of Copenhagen and Imperial College London. The workshop offered an overview of SSEC’s work on Phylo2Vec, a software package designed to accelerate phylogenetic research. Phylogenetic trees are diagrams that illustrate species’ shared evolutionary history. Represented as bifurcating binary…
