Adrian Heilbut |
research | teaching | background | publications | resumé | links | ||||||||||||||||||||
aheilbut [at] gmail [dot} on {dot] com 617-512-6124 current address: 10 Dana Street, Apt 8 Cambridge, MA 02138 USA |
Moved to empiricist.ca
I'm currently a graduate student in the Department of Biochemistry at the University of Toronto. I work in computational biology and bioinformatics at the Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto. Biochemical network dynamicsI'm interested in understanding the function, evolution, and design principles of biochemical networks and cells by modeling their dynamics. In particular, I am interested in methods for automatically constructing models of biochemical networks that perform a desired function or exhibit desired (ie. experimentally observed) dynamics. My current project is investigating the simulated evolution of simple biochemical networks, such as switches and oscillators, building on work done by Francois and Hakim as well as some earlier efforts by Koza. Functional genomics and proteomicsI am also interested in practical issues involved in generating and analyzing high-throughput functional genomics and proteomics data. High-throughput interaction datasets generated to date contain a significant amount of false-positive data, and miss many known interactions. Despite a lot of work on clever statistical approaches to filter interaction data, the quality of high-throughput data could be improved immensely by doing simple things to design experiments better, and by focussing more attention on reproducibility. Experimental designs also need to balance ideals with the economics of data generation. Working with MDS Proteomics and Dr. Gregg Morin, I analyzed a large set of immunoprecipitation data to determine some of the parameters needed to better design mass-spec based protein complex identification experiments. Some of that work was presented in a poster at HUPO2003, and a manuscript is currently in preparation. TeachingI taught the bioinformatics segment of a tutorial on Protein-Protein Interactions at the PENCE/CPI conference. [Slides]BackgroundPrior to starting grad school, I worked for two years at MDS Proteomics. I did my undergraduate work at University College in the University of Toronto in Neuroscience and Computer Science. I'm a lindyhopper.Resumé [pdf]Recent Courses
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