I am an Assistant Professor of Department of Biomedical Informatics and Intelligent Systems Program at the University of Pittsburgh and an adjunct faculty in the Machine Learning Department at the Carnegie Mellon University. My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical image along with genetic data and other electrical health records such as the clinical report. For example, we are developing a probabilistic model to extract information from brain images (Magnetic Resonance Images) of patients with Alzheimer's disease and relate them the underlying genetic markers involved in the disease. We are interested in method development as well as translational clinical problems because after all, exciting research directions are coming from real applications.

Previously, I was post-doc at Computer Science and Artificial Intelligence Lab (CSAIL) at MIT working with Prof. Polina Golland. I also worked with William (Sandy) M. Wells in the Harvard Medical School. In May 2012, I received my PhD from Electrical and System Engineering (ESE) Department of University of Pennsylvania working with Prof. Christos Davatzikos and Prof. Ben Taskar.

LOOKING FOR POSTDOC : I am hiring a post-doc for an exciting imaging-genetic project. Please send me your application if you are interested (see the job ad for detail).

LOOKING FOR PHD : I am also hiring graduate student through Intelligent Systems Program . Contact me if you would like to do research in machine learning with applicaitons in healthcare.

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Contact info

32 Vassar Street 32-D462
Cambridge, MA 02139, USA
Email: [first name]


2/8/17: Congrats to Jenna Schabdach. Her first paper is accepted to IPMI.

1/26/17: Congrats to Oren Freifeld. Our paper is accepted to TPAMI (Link).

10/17/16: Congrats to Polina Binder for winning the best paper award in the MLMI workshop!

4/15/16: ACL paper got accepted!