LLNL's Winter Hackathon Held Virtually

Held since 2012, LLNL’s hackathons are 24-hour opportunities to brainstorm, foster creativity, prototype, and explore. Participants work in groups or individually and often strive to learn new skills, programming languages, and tools in service to LLNL’s missions. Like the spring and summer hackathons of 2020, this year’s winter event (February 11-12) was held virtually using WebEx and Mattermost for collaboration. With LLNL’s Data Science Institute (DSI) sponsoring the hackathon, the agenda included guest speakers (below) discussing data science topics relevant to the Lab’s missions as well as a deep learning tutorial. (Participants were not required to attend the talks.) Read the recap on the DSI website.

• Brian Van Essen: COVID-19 Rapid Drug Discovery
• Jose Cadena Pico: Modeling the Temporal Network Dynamics of Neuronal Cultures
• Benjamin Priest: Querying Massive Graphs with Sketching Algorithms
• Kelli Humbird: Data-Driven Design for Inertial Confinement Fusion
• Cindy Gonzales and Luke Jaffe: Introduction to Deep Learning for Image Classification