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Faculty

PRINCIPAL INVESTIGATORS

Philip M. Kim, PhD
Assistant Professor  

Banting & Best Department of Medical Research;
Department of Molecular Genetics;
Department of Computer Science.

Other U of T Affiliations: Terrence Donnelly Centre
for Cellular and Biomolecular Research (TDCCBR);
Collaborative Graduate Program in Genome Biology
and Bioinformatics

I Am Originally From: Aachen, Germany

Where I Studied:
Yale University, New Haven, CT
Post-doctoral Associate in Molecular Biophysics and
Biochemistry, 2005 to 2008

Massachusetts Institute of Technology, Cambridge, MA, USA
PhD in Physical Chemistry / Artificial Intelligence, 1998 to 2003

University of Tuebingen, Germany
Vordiplom in Physics and Biochemistry, 1994 to 1997

My Story:

We are experiencing perhaps the most exciting period in biomedical science in its history. Recent and current advances in experimentation technologies are equivalent in scale as the innovations of the industrial revolution. Just think of the improvement in speed and cost of genome sequencing – by more than 6 orders of magnitude. Imagine all the advances and societal changes that steam power and other technologies brought forth in the late 18^th century; in biomedical research we will see a revolution just as significant. I believe that the explosion in data availability from these new technologies will lead to a shift of focus in bioscience towards computational and theoretical methods. This is why I think that there has never been a more exciting time to do computational biology.

My interest center around two topics: Genetic variation and protein interactions. My lab studies genome rearrangements and its consequences as structural genetic variation in the human population. Moreover, we study protein interactions and signaling networks mediated by modular protein domains. Putting it all together, we use machine learning tools to analyze genetic variation (both SNPs and Structural Variants) using genomic and proteomic data.

It is hard to imagine a better collaborative environment than the TDCCBR to do our kind of work. There are world-class laboratories in many different areas ranging from yeast genetics and protein chemistry to biomedical imaging and stem cell research.  Especially for a diverse field such as computational biology it is important to be able to interact with people with a wide range of expertise. As such I collaborate extensively with many groups in the building.

For more information on my work, please e-mail me at pm.kim@utoronto.ca

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