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From 2010.igem.org

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Contents 1 Who we are 2 Instructors 2.1 Graham Cromar 2.2 Kris Hon 2.3 Amin Zia 3 Students 3.1 Anish Kapadia 3.2 Kenny Zhan 3.3 Farhan Raja 3.4 Elena Pasko 3.5 Mengyan Li 3.6 Yen Leung 4 Advisors 4.1 Daniel Wong 4.2 Stacy Hung 4.3 John Parkinson

Who we are

Instructors

Graham Cromar Graham Cromar I am a 5th year Ph.D. student in the Department of Molecular Structure and Function at the Hospital for Sick Children in Toronto. At various times in the past I have studied cell and molecular biology (B.Sc. Toronto), molecular biology and genetics (M.Sc. Guelph), computer programming and systems analysis (dip. Inst. Computer Studies, Toronto), bioinformatics (cert. Canadian Genetic Disease Network) and, systems and matrix biology (present). I have worked as a lab technician, teaching assistant, computer programmer/systems analyst and IS manager. But, what I would most like to do is what I wrote in my high school yearbook about 20 years ago... Design organisms for export to far away galaxies. Thanks to iGEM I'm 1/4 of the way there...	Kris Hon Kris Hon I am currently a 2nd year masters student in the Department of Biochemistry at the Unviersity of Toronto, having graduated with a BSc. Honours in Molecular Genetics and Microbiology at the University of Toronto. I am currently studying the effects of micro-compartmentalization in metabolic channeling. The creative freedom and the chance of making a lasting difference drew me to synthetic biology. The fact the iGEM allows for both certainly does help!
Amin Zia Amin Zia I am a post-doctoral fellow at the Dept. of Cell and Systems Biology with a background in Engineering. I'm currently working on a couple of cool ideas to tailor engineering methods for Bioinformatics and Systems Biology. My interest in synthetic biology comes naturally with my background...

Students

Anish Kapadia Anish Kapadia Profile for Anish Kapadia.	Kenny Zhan Kenny Zhan Profile for Kenny Zhan.
Farhan Raja Farhan Raja I am a graduate student in Biochemistry and my research involves applying computational techniques (eg. FBA) towards the reconstruction and analysis of pathogenic metabolism. I helped with the modeling portion of this year's iGEM team.	Elena Pasko Elena Pasko Profile for Elena Pasko.
Mengyan Li Mengyan Li Profile for Mengyan Li.	Yen Leung Yen Leung Profile for Yen Leung.

Advisors

Daniel Wong Daniel Wong Daniel Wong received his BASc in Engineering Science biomedical option at the University of Toronto. He is currently with the Institute of Biomaterials and Biomedical Engineering, working toward his PhD. He works in the Cochlear Implant Laboratory at the Hospital for Sick Children, developing neuroimaging algorithms for the analysis of multichannel EEG data. As design team lead for this year's iGEM team, he guided the design team in developing the protocols for creating the team's biobrick parts. His academic interests include neuroimaging and systems modelling. To relax, he enjoys a good round of golf or social salsa dancing.	Stacy Hung Stacy Hung With a B.Sc. Honours Biology and Bioinformatics from the University of Waterloo, Stacy is currently a 4th year Ph.D. student at the University of Toronto. Her main focus is to identify novel enzyme drug targets against malaria by studying the metabolic networks of these parasites. She is inspired by anything that is new, exciting, and can have a long-term impact for making the world a better place -- besides her research, iGEM is certainly one of these things!
John Parkinson John Parkinson Graduated from the University of Bath with a bachelor of science in Applied Biology in 1990. After receiving a PhD in Biochemistry from the University of Manchester in 1995, I completed a NATO fellowship at the University of Manitoba. From 1997 to 2000, I was awarded a fellowship at the Edinburgh Centre for Protein Technology, University of Edinburgh and from 2000 to 2003 completed another fellowship at the University of Edinburgh on Nematode genomics. I am currently a scientist at The Hospital for Sick Children Research Institute. The research in our laboratory is aimed at understanding how molecular information can give rise to complex biological behaviour. Using computational methods, we study the organization and dynamics of cellular components within the context of integrated biological systems. Comparative genomics methods are also being applied to provide insights into how these systems may have evolved from the remote origins of life.