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 timeseries data and in understanding these fitting problems theoreticallyissues 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. 
Email: perkins@mcb.mcgill.ca
Phone: (514) 3985018
Fax: (514) 3983387
Snail mail:
Prof. Theodore J. Perkins
McGill Centre for Bioinformatics
3775 University St.
Montreal, Quebec, H3A 2B4
Canada
See also: Undergraduate research project courses (open to all students in the Faculty of Science)