Subrata Das, Chief Data Scientist
Dr. Subrata Das is the founder of Machine Analytics and is a well-known expert in the fields of data fusion, computational intelligence, and business analytics. Subrata’s technical expertise includes theory of probability of statistics, mathematical logic, probabilistic and other formalisms for handling uncertainty, symbolic argumentation, graphical modeling, particle filtering, natural language processing, intelligent agents, and a broad range of computational artificial intelligence and machine and deep learning techniques.
Subrata spent two years in Grenoble, France, as the manager of over forty researchers in the document content laboratory at the Xerox European Research Centre. Subrata guided applied analytics research and development in the areas of unstructured data analyses, machine translation, image processing, and decision-making under uncertainty. Subrata was one of the five-members in the high-profile Xerox task force Knowledge Work 2020, alongside colleagues from the Palo Alto Research Center (PARC), to explore a strategic vision of the future of work. .
Before joining Xerox, Subrata held the Chief Scientist position at Charles River Analytics in Cambridge, MA, where he led many fusion and analytical projects funded by DARPA, NASA, and various branches within the US Department of Defense (DoD), including the Army, the Office of Naval Research (ONR) and the Air Force Research Lab (AFRL). He has also extensively collaborated with various universities around the world. In the past, Subrata held research positions at Imperial College and Queen Mary and Westfield College, both part of the University of London, where he researched in the health informatics domain. He received his PhD in Computer Science from Heriot-Watt University in Scotland, a Master’s in Mathematics from the University of Kolkata, and an M.Tech from the Indian Statistical Institute.
Subrata is the author of the books High-Level Data Fusion, published by the Artech House, Foundations of Decision Making Agents: Logic, Modality, and Probability, published by the World Scientific/Imperial College Press, and Deductive Databases and Logic Programming, published by Addison-Wesley. Subrata has also co-authored the book entitled Safe and Sound: Artificial Intelligence in Hazardous Applications, published by the MIT Press (Nobel laureate Herbert Simon wrote the foreword of the book). Subrata’s latest book is Computational Business Analytics to be published by Chapman and Hall.
Subrata is a regular contributor, a technical committee member, a panel member, and a tutorial lecturer at the International Conference on Information Fusion. Subrata has published many conference and journal articles, edited a journal special issue, and regularly gives seminars and training courses based on his books. Subrata is proficient in multiple programming languages including Java, C++ and Prolog, and in various database systems. He has conceived and developed in-house tools aText, iDAS and RiskAid that provide underlying engines of the Machine Analytics products