Groups and Center
Bioinformatics Lab
Andrea Califano
Theoretical - Tuesdays, 9-10am.
Applied - Wednesdays, 1-2pm.
Experimental - Thursdays, 2-3pm. ICRC Building Conference Room 913.
Exploration and the application of pattern and association discovery algorithms in the context of sequence, structure, and microarray data. Reverse engineering of metabolic and gene regulatory networks using dynamical and statistical predictive models that can be validated in an experimental setting. Dissection of complex genetic traits in a whole genome context, using association discovery techniques and their related statistical models.
Cognitive Science Lab
David Kaufman Jessica Ancker, Yalini Senathirajah, Connie Chan, Paul Teixeira, Herb Chase, Stanley Hum
Wednesdays, 11am, VC5 Conf Room B
Communication, Informatics, and Public Health Lab (CIPH)
Rita Kukafka, Jessica Ancker, Delano McFarlane, Connie Chan, Paul Teixeira, Jonathan Keeling
Every other Friday, starting September 7, 12-1pm, VC-5 Conf Room
The laboratory hosts interdisciplinary collaborations to explore ways in which communication and informatics can help meet Healthy People 2010 objectives. Research in the lab integrates methods in informatics, social and behavioral sciences, and public health.
Computational Human Genetics Research Group
Itsik Pe'er, Ninad Dewal, Dan Raz, Eimear Kenny, Alexander Gusev
Tuesdays, 4-5pm, Fairchild, Room 900 (Morningside campus)
Data and Text Mining Lab
George Hripcsak, Carol Friedman, Adam Wilcox, Marinathi Markatou, Simon Parsons, Noemie Elhadad, Albert Lai, Lily Li, Sigfried Gold, Hua Xu, Jung-Wei Fan, Xiaoyan Wang, Frances Morrison
Thursdays, 10:00am, VC5 Chair's Office
Machine learning and visualization are methods for discovering knowledge in large databases including text databases. This work focuses on testing and extending existing statistical and knowledge-based discovery methods to improve their performance on clinical data and text. Important issues include data representation, data accuracy, data completeness, and training set size.
Clinical Systems Lab
Pete Stetson, Suzanne Bakken, Dan Dine, Dan Stein, Jesse Wrenn, Tieman Van Vleck, Amy Chused, David Vawdry, Tiffani Bright
Thursdays, 2-3pm, VC5 Conf Room A
This laboratory conducts research on the complex interaction of clinicians and information systems, seeking to improve the efficiency of clinical processes, reduce errors and improve quality of care. Key questions involve how clinicians collaborate, how information is carried across transitions of care, how natural language is used to communicate information, how clinical plans are developed, and how decisions are made. The lab explores the use advanced methods for information management, including natural language processing, summarization, collaboration tools, usability evaluation, data mining, decision support, document markup standards, clinical ontologies, and web services architecture.
Information Seeking Lab (CIQR)
Eneida Mendonça, Stephen Johnson, David Kaufman, Robert Duffy, Herb Chase, Karthik Natarajan
Thurdays, 9:30am, VC5 Conf Room A
Based on studies of clinicians' information needs (as they occur in daily workflow) and on models of expert information-retrieval strategies, the CIQR project will explore 1). the degree to which spoken natural-language queries via mobile communication devices can be used to mediate information-seeking behavior and systems, and 2). the use of speech-recognition, syntactic parsing, and semantic interpretation software in modeling or reproducing the methods used by professional librarians as they perform medical literature searches in response to clinicians' queries. The project seeks to improve access for physicians to the ever-enlarging body of current research data. CIQR wiki
Translational Research Lab
Stephen Johnson, Suzanne Bakken, Rita Kukafka, Chunhua Weng, Thom Bigger, Inderpal Kohli, Meir Florenz Sharib Khan, Richard Steinman, Daniel Dine, Yalini Senathirajah
Thursdays, 10:30am-11:30pm, Irving Institute, PH10 Conf Room A
This lab conducts research on scientific collaboration across the translational spectrum, from bench to bedside to practice. We study the behavior of scientists, their research processes, workflow and social networks. Models of these phenomena are used to develop information systems that support clinical and translational research, particularly clinical trials management, and dissemination of knowledge into clinical practice. Research in this lab is supported by the NIH Roadmap initiative and by the Clinical and Translation Science Award, through the Irving Insitute.
