Research summary: My research focuses on modeling dynamics and information processing in biochemical networks, elucidating their structure, and uncovering the principles upon which they operate. In particular, I am interested in using principles from probability theory, information theory, and control theory to identify and explain the structure and function of biochemical networks. I am interested in developing efficient algorithms for fitting differential equation models of time-series data and in understanding these fitting problems theoretically--issues which have not received nearly enough attention in the machine learning or statistics communities. More generally, I am interested in developing and applying machine learning and data mining algorithms for biological data sets.
|Research keywords: computational biology, mathematical biology, bioinformatics, systems biology, machine learning, dynamical systems, genetic networks, development, Drosophila melanogaster, segmentation network.|
Phone: (514) 398-5018
Fax: (514) 398-3387
Prof. Theodore J. Perkins
McGill Centre for Bioinformatics
3775 University St.
Montreal, Quebec, H3A 2B4
See also: Undergraduate research project courses (open to all students in the Faculty of Science)