Flare Forecast was founded in late 2012 with the goal of shaping the future of space weather prediction for the next generation. As academic scientists already working closely in the field, we saw very early on the emerging needs and new-found abilities to re-invent the way space weather has been traditionally approached.
As a bootstrapped small business in an emerging market, we uniquely understand the hard work and dedication of other startups in the areas of space weather and related technologies. As a member of the American Commercial Space Weather Association (ACSWA), we work closely with other small businesses to provide a collective voice in an industry previously dominated by large corporate and government entities of the last century.
Systems Developer, Computer Scientist
Mr. Schuh received his M.S. in Computer Science in 2012 from Montana State University. In 2009, he received his B.S. in Computer Science from the University of Wisconsin, with minors in Mathematics and Business. During his undergraduate work, Mr. Schuh worked as a freelance programmer and IT consultant for small businesses, where he gained interest and experience in applying computer science to solve the real-world needs of clients. His current research interests revolve around data mining and big data, with specific topics including predictive analytics, content-based image retrieval (CBIR), high-dimensional data indexing, and similarity search. Over the past few years, Mr. Schuh has been immersed in Solar Physics through various interdisciplinary research projects, including extensive analysis of data from the Solar Dynamics Observatory mission via the Heliophysics Events Knowledgebase and the creation of a solar CBIR system. While helping to create a newfound collaborative environment between scientific disciplines, he continues to look forward to emerging opportunities for data mining in Solar Physics.
Operations Manager, Solar Physicist
Mr. Engell received his B.A. from Harvard College in 2008 in Earth and Planetary Science. In 2006, he began working in the field of solar physics at the Harvard-Smithsonian Center for Astrophysics (CfA) specializing in data analysis, image processing, and magnetic modeling. In 2009, he was hired full time to work at the CfA High Energy Astrophysics Division working on solar flares, automatic detection algorithms (polarity inversion line), and magnetic modeling (non-linear force free fields). Mr. Engell has also worked extensively in analysis of AIA, HMI, XRT, SOT, RHESSI, and TRACE data. Prior to launching Flare Forecast, he had been heavily researching the industries affected by space weather events, identifying costs, health hazards, recent growths in the private space sector, and how the North American Electric Reliability Corporation is using its Geomagnetic Disturbance Task Force to develop risk mitigation protocols. He has continued this work while with Flare Forecast, with a focus on recent developments in solar flare and space weather prediction systems.
Senior Computer Scientist
Dr. Angryk received his M.S. and Ph.D. degrees in Computer Science in 2004 from Tulane University, and he also holds two other masters degrees, which he obtained from universities in Poland. In 1999, Dr. Angryk received a M.A. in Business Management from the University of Szczecin and three years later a M.Eng. degree in Computer Science from the Technical University of Szczecin. Dr. Angryk has over 13 years of practical experience working with massive data repositories and in big data analytics both on raster and object data. Dr. Angryk’s current research activities lie in the areas of Data Mining (large-scale data clustering, classification, and frequent pattern discovery as well as modeling and analysis of data with imprecision), Databases (image, spatial, and spatio-temporal database systems, high dimensional indexing and similarity-based retrieval), and Computational Intelligence (neural networks and fuzzy expert systems). He has published over 50 journal articles, book chapters and peer-reviewed conference papers in these areas.
Senior Solar Physicist
Dr. Martens has more than 30 years of research experience in Solar Physics, with an emphasis on solar eruptions and solar flares. He received his Ph.D. Cum Laude in 1983 from Utrecht University in The Netherlands. He has worked for both NASA and the European Space Agency, as well as the Harvard-Smithsonian Center for Astrophysics and the Lockheed Solar and Astrophysics Lab in Palo Alto. His current research interests include machine recognition and prediction of solar phenomena, in particular flares. He has published over 100 papers in the scientific literature, and regularly presents invited talks at international meetings on his research. He has extensive experience in theory, simulations, data processing and analysis, automated feature recognition, science operations, and space instrumentation. He currently heads the Feature Finding Team for NASA’s Solar Dynamics Observatory (SDO), an international effort to develop automated recognition methods for phenomena and events observed by solar observatories both in space and on the ground. He has also had NASA space mission involvement with Yohkoh, SoHO, TRACE, SDO, and IRIS.