Episode 11 - Warp Speed Edition with Madhulika Guhathakurta, Marco Velli and Rod Roddenberry

Episode 11 - Warp Speed Edition with Madhulika Guhathakurta, Marco Velli and Rod Roddenberry

We’re celebrating NASA’s Parker solar probe entering the record books to become the fastest human made object of all time!!

Episode 8 - The Moonshot’s Legacy for AI

AI is no-longer an academic curiosity. We’re now in the era where this transformative new tool is now making substantive contributions to both space exploration and how we protect our planet.  However, the shift from a cool demo to something we can trust requires a new level of rigor and engineering excellence.

Episode 7 - Aurora Awesomeness with Dr. Thomas Berger, University of Colorado Boulder

Date: Wednesday, 16 May Time: 12 Noon New York, 5.00 pm London, 9.00 am San Francisco Where: trillium.tech/wormholelive

Episode 6 - Heliophysics Big Year with Dr. Anna Jungbluth, European Space Agency (ESA)

Anna works on machine learning applications for earth observation and climate research. Before her postdoc, she obtained her PhD in Physics at the University of Oxford, researching renewable energies. Throughout her PhD, Anna developed an interest in machine learning for scientific applications, which led her to joining the Frontier Development Lab as a researcher in 2019. She returned to the program as a faculty member, and helps lead various heliophysics and earth observation projects. She is passionate about increasing diversity in STEM and helping to empower the next generation of interdisciplinary scientists.

Episode 5 - Heliophysics Big Year with Dr. Thomas (Tom) Berger, University of Colorado Boulder

Tom has recently became one of the first Principal Investigators in NASA’s new Space Weather Centers of Excellence program, working with NASA, NOAA, and university partners to develop the next generation of orbital space weather forecasting models. He came to space weather research via a lifelong love of astronomy and solar physics, graduating from UC Berkeley with a degree in Engineering Physics followed by a Ph.D. in Applied Physics/Astrophysics from Stanford University. Tom also founded the Space Weather Deep Learning Laboratory, the first university facility to focus on AI/ML applications to space weather prediction.He’s been a faculty member of FDL since 2021, working with teams of FDL researchers to develop advanced models for prediction of the Low Earth Orbit environment, a critical region of space that is particularly vulnerable to extreme geomagnetic storms triggered by solar eruptions.