About me
Starting in fall 2012 I'll be an Assistant Professor in the Computer Science department at Stevens Institute of Technology.
After completing my PhD in Computer Science in 2010 at NYU, I spent two years as a postdoctoral Computing Innovation Fellow at Columbia University, in the Department of Biomedical Informatics. Before that I was an undergraduate at NYU in Computer Science and Physics.
My book, Causality, Probability, and Time, will be published by Cambridge University Press in late 2012.
Research Interests
My broad interests are causality, inference from complex data, and biomedical informatics. At the core of my work is a fasciation with time and temporal data. My current work combines these areas, uniting temporal logic and tools from computer science with philosophical theories of causality to solve biomedical problems. I've previously applied these methods to stock return time series as well as to political speeches and popularity ratings, but my most recent work aims involves applications to electronic health record and intensive care data.
Courses
Fall 2012 Causal Inference [CS-810B]
622 W 168th st, VC-5
New York, NY 10032
212.305.4510
samantha@dbmi.columbia.edu
News and announcements
- May 2012: I'll be starting as an Assistant Professor in the Computer Science department at Stevens Institute of Technology in September.
- April 2012: My book Causality, Probability, and Time will be published by Cambridge University Press this fall.
- November 2012: I will be presenting Automated Temporal Causal Inference from EHR Data at the AMIA Translational Summit in San Francisco.
- November 2012: Our paper reviewing causal inference in biomedical informatics was just published in JBI (Journal of Biomedical Informatics) and is available online.