Victor Pankratius leads the Data Science in Astro-&Geoinformatics Group with research spanning multiple MIT departments. His work advances computer-aided discovery in a new breed of intelligent systems that leverage artificial intelligence with integrated domain knowledge. To scale on big data, his research also explores new techniques in parallel computing and software engineering for AI.
Victor’s data science work is driven by case studies and applications in multiple areas including astronomy, geoscience, solar science, planetary science, exoplanet search as well as chemistry and biology in search for life beyond our solar system.
He received a Habilitation degree in Computer Science from the Karlsruhe Institute of Technology, Germany, and a Dr.rer.pol. degree with distinction from the University of Karlsruhe. From the University of Muenster, Germany, he received a Diplom best of class in Business Computer Science as well as a Bachelor of Science in Information Systems.
See personal Web page for additional details and publications.
Data science, artificial intelligence, astroinformatics; High Performance Computing, Exoplanets, Optical/IR/Radio Astronomy