Daby M Sow  Daby M Sow photo         

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Director, Hybrid Cloud Services - IBM Research
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash3684

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Daby Sow has joined IBM Research in October 2000 as a research scientist. He is currently directing the hybrid cloud services department at IBM Research. In this role, he leads a team of researchers focusing on the development of AI-based technolgies for all aspects of the management of modern hybrid cloud platforms, including application modernization, AIOps, cloud security and compliance. Before this, he was a distringuished research staff member, managing the security and compliance research group.

Daby also has a lot of experience in computational health, as he managed the Biomedical Analytics and Modeling group and led the disease progression modeling strategy within the Center for Computational Health for 3 years.

During his tenure at IBM Research, Daby spent 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 recognitions 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).  

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. His current research interests includes Artificial Intelligence and Machine Learning, time series analysis and sequential modeling, and cloud computing in general.