Daby Sow has joined IBM Research in October 2000 as a research scientist. He is currently a Principal Research Staff Member at IBM Research, managing the Biomedical Analytics and Modeling group in the Center for Computational Health. He is leading a team focusing on the application of AI to various problems in healthcare, ranging from adverse drug reaction detection for real world evidence, disease progression modeling, causality and explainability challenges in healthcare. Prior to this role, he spent almost 2 years in the IBM Research Kenya lab, as a senior manager leading teams with a focus on government transformation and Healthcare, as part of a temporary international assignment. Daby is also known for his work in critical care as he started and led IBM's efforts to apply stream computing technologies to problems in critical care; he was the technical lead of the IBM Data Baby project that introduced streaming analytics to the critical care community and that resulted in several live research system deployments worldwide that demonstrated IBM's ability to bring situational awareness to the bedside.
Daby has received numerous recognition for his work including two IBM’s Outstanding Technical Achievement Awards. He has also received the external Black Engineer of the Year Award for Outstanding Technical Contribution – Industry (2015, USA). He holds more than a dozen of patents issued in United States and has authored over 50 technical articles (book chapters, top journal and conference articles) in various areas ranging from information theory, knowledge discovery and data mining, middleware, pervasive computing and medical informatics.
Daby received the B.Science. degree in Electrical Engineering from Universite Laval, Quebec, Canada in 1994, and the M.S. and Ph.D. degrees in Electrical Engineering from Columbia University, NY in 1996 and 2000, respectively.