Plenary Speakers

Kok Leng Yeo
Max Planck Institute for Solar System Research, Germany
Session 1: Solar magnetic variability and irradiance over the solar cycle
Kok Leng Yeo is a postdoc within the Sun Variability and Climate group at the Max Planck Institute for Solar System Research. His research interests include solar surface magnetism and solar irradiance variability.
Jiong Qiu,
Montana State University, USA
Session 2: Precursors and signatures of eruptive events
Jiong Qiu is an associate professor of Physics at Montana State University. Her research focuses on understanding magnetic reconnection and subsequent energy release in solar eruptive events. She analyzes observational signatures of magnetic reconnection, diagnose plasma heating in solar flares, and study the evolution and structure of CMEs in the corona. She works with graduate and undergraduate students, and has managed the NSF-sponsored Research Experiences for Undergraduates program at MSU since 2008. Previously, she has also conducted earthshine measurements of global atmosphere properties at Big Bear Solar Observatory, New Jersey Institute of Technology. She earned her PhD in astrophysics from Nanjing University in China.
Vincent Böning
Max Planck Institute for Solar System Research, Germany
Talk in Session 3: Solar interior flows: Recent results and current challenges
Vincent Böning is a postdoctoral researcher at the Max Planck Institute for Solar System Research in Göttingen, Germany, and works on helioseismology of meridional circulation and subsurface convection. He received his Ph.D. in 2017 from University of Freiburg, Germany, with a project on deep meridional flow at the Kiepenheuer Institute for Solar Physics. As a main result of his thesis, he found that the detection of the meridional flow is ambiguous for flows below about 0.85 solar radii when a time series of about 2 years of GONG data is used.
Maria Kazachenko
Space Sciences Laboratory, UC Berkley, USA
Session 4: Data-driven modeling of solar atmosphere and solar explosive events
Maria Kazachenko received her PhD in Physics at Montana State University under Richard Canfield, Jiong Qiu and Dana Longcope. Following graduation, she joined George Fisher's theory group at the University of California at Berkeley, first as a Postdoctoral Fellow, then as a Research Physicist. In August 2018 Maria moved to Boulder, CO to become an Assistant Professor at the University of Colorado Boulder and the National Solar Observatory.
Maria Kazachenko's research interests range from the storage of magnetic energy in active region coronae, to the release of that energy in solar flares with an emphasis of comparison and integration of observations with simulations. Recently, Maria developed a method to create a RibbonDB database of flare-ribbon properties in more than 3000 flares, C1.0 class and higher, observed by the Solar Dynamics Observatory. Along with George Fisher and Brian Welsch, Maria has developed, tested, and applied techniques to derive photospheric electric fields from sequences of vector magnetograms. These electric fields have been used as boundary conditions for the Coronal Global Evolutionary Model, one of the most realistic data-driven models of the solar atmosphere.
Sarah Gibson
High altitude Observatory, USA
Talk in Session 5: Solar panorama: Science from high latitudes
Sarah Gibson is a Senior Scientist in the High Altitude Observatory (HAO) at the National Center for Atmospheric Research, and Section Head of HAO’s Solar Frontiers Section. Dr. Gibson received her Bachelor’s Degree in Physics from Stanford University, and her Masters and Doctoral Degrees in Astrophysics from the University of Colorado. Her research centers on solar drivers of the terrestrial environment, from short-term space weather drivers such as coronal mass ejections (CMEs), to long-term solar cycle variation. She was the recipient of the American Astronomical Society – Solar Physics Division 2005 Karen Harvey Prize. She was a Scientific Editor for the Astrophysical Journal and has served on many national and international committees. She is currently a member of Executive Committee of the National Academies' Space Studies Board and co-chair of its Committee on Solar and Space Physics, and is Vice President of the IAU Division E (Sun and Heliosphere). She is also committed to education and public outreach. She gave the first of NCAR's 50th anniversary public lectures, participated in the NOVA episode "Secrets of the Sun" and NBC Learn's "When Nature Strikes: Space Weather" (NSF/TWC), and has written a blog post for the Huffington Post entitled "Living with Space Weather (Baby, It's Charged Outside)".
Dan Seaton
National Oceanic and Atmospheric Administration, USA
Session 6: The transition from the corona to the heliosphere
Vincent Barra
Université Clermont-Ferrand, France
Session 7: Machine Learning and Forecasting
Vincent Barra received his PhD in Image Processing from the University of Clermont-Ferrand, France, in 2000. He has been the dean of an engineering school in Computer Science from 2012 to 2017. He is currently a Full Professor in Computer Science at the Clermont-Auvergne University. His research interests include image processing, machine and deep learning,and n-dimensional data analysis. He has published or co-published more than 50 peer-reviewed papers in the field of image and data analysis.
Allison Youngblood
NASA Goddard, USA
Session 8: Solar/stellar magnetic activity and its influence on planetary bodies
Allison Youngblood is a NASA Postdoctoral Program Fellow at Goddard Space Flight Center. She received her PhD in Astrophysics in 2017 from the University of Colorado at Boulder with a focus on UV spectroscopy of M and K dwarf stars (<0.80 solar masses) known to host exoplanets. She works on characterizing the high energy photon and particle environments of exoplanets that will be targeted for detailed atmospheric characterization in the 2020s with the James Webb Space Telescope and ground-based Extremely Large Telescopes. When direct observations are unavailable or not possible (e.g., the EUV and energetic particles), she uses constraints from solar data.