Dr. Kamalika Das is a senior scientist in the USRA Research Institute for Advanced Computer Science (RIACS), supporting the Data Sciences Group within the Intelligent Systems Division at NASA’s Ames Research Center. Her research interests include building machine learning solutions for a broad class of problems in aviation, Earth Science, and computational sustainability. Kamalika has been and continues to be the Principal Investigator/Co-Investigator on multiple NASA-funded projects on machine learning for climate and geosciences as well as aeronautics. She has also led NASA's efforts on a DARPA funded project on anomaly detection at multiple scales. Kamalika has co-authored more than 50 publications in top Data Science conferences and journals and is actively involved in the peer-review process. She also serves regularly on NASA and NSF panels in data mining and informatics. Her commitment to mentorship and community service within the Computer Science community has won her the NASA Exceptional Public Service Medal in 2014. Other awards include multiple NASA ACC Excellence awards (2011, 2014, 2017) and the NASA Aeronautics Associate Administrator Exemplary Performance Award for Technology and Innovation, 2010. Kamalika graduated with a PhD in Computer Science in 2009 from University of Maryland, Baltimore County.