I am a research assistant professor within the newly established Center for Evidence-based Medicine. My research is primarily in machine learning/data mining/NLP, with an emphasis on applications in health informatics. I am interested in developing computational models that make sense of health-related information. This often entails developing novel machine learning/NLP methods. I am also interested in computational issues in evidence synthesis, broadly defined.
I completed my PhD in computer science at Tufts in June 2012, advised by Carla Brodley . My dissertation concerned machine learning in health informatics, specifically with the aim of reducing the (human) workload involved in conducting systematic reviews. During my time at Tufts, I was also a research computer scientist within the Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.