Danelle Shah

Dr. Danelle Shah is an Assistant Group Leader in the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory. Her research background is in machine learning, artificial intelligence, and human-machine interaction. Danelle joined Lincoln Laboratory in 2012 and has since been involved in a variety of programs with foci including pattern analysis and anomaly detection; multi-intelligence analytics for anti-access/area denial (A2/AD); humanitarian assistance and disaster response (HA/DR); and open-source data exploitation.  She is also actively involved with education and outreach initiatives.

Dr. Shah has coauthored more than 20 publications, was awarded the 2019 Early Career Technical Achievement Award at MIT Lincoln Laboratory, and was invited to be one of 100 early-career engineers from industry, universities, and government labs to participate in the 2019 U.S. Frontiers of Engineering Symposium. She is a member of the Institute of Electrical and Electronics Engineers (IEEE), Society of Women Engineers (SWE), and Military Operations Research Society (MORS). Danelle currently helps lead the Laboratory's Artificial Intelligence Technology and Systems Group, which specializes in the development of AI systems leveraging signals processing, machine learning, graph analytics, and natural language processing.

Dr. Shah received her BS in mechanical and aerospace engineering from the State University of New York at Buffalo and her MS and PhD degrees in mechanical engineering from Cornell University.