Kenney Ng, PhD, FAMIA

I am a Principal Research Scientist and Manager of the Center for Computational Health at IBM Research Cambridge. My current research focus is on the development and application of data mining, machine learning, and AI techniques to analyze, model and derive actionable insights from real world health data to improve patient outcomes. I am and have been the principal investigator on a number of research collaborations with the Broad Institute, Massachusetts Institute of Technology, Massachusetts General Hospital, Brigham and Women's Hospital, and JDRF. My prior research areas include information retrieval, speech recognition, probabilistic modeling, topic modeling, and statistical language modeling. Before IBM Research, I was a senior software engineer and architect in IBM Software Group for several products including IBM Patient Care and Insights (IPCI), eDiscovery Analyzer (eDA), IBM Content Analyzer (ICA), IBM Classification Module (ICM), and Omnifind Discovery Edition (ODE). Prior to IBM, I was a principal software engineer at iPhrase Technologies and held research positions at the MIT Laboratory for Computer Science, BBN Technologies, and MIT Lincoln Laboratory. I have Bachelors, Masters, and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.