I'm a first year PhD student in MIT's department of Bioengineering. This content is questionable at best since I'm still figuring out the whole Wiki thing. For now you can download my CV. Feel free to read whatever happens to be here.
Skip to the Bio if you'd rather read my life story than my research.
Along the way I got involved in politics, martial arts, and computer programming. I served as Treasurer for the King County Young Democrats, and a Democratic Precinct Committee Officer in 2000-01. I practic
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Go back to Research if you got here by mistake and don't really want to read my life story.
High School I'm from Seattle WA, in the Pacific Northwest. At first I planned to be a computer programmer, and I talked myself several programming languages. That lasted exactly one week after I got my first programming job. If you've ever worked in a grey cubicle in corporate America then you understand why I got out. Otherwise just be grateful that you don't understand that particular type of pain. After a string of random events I ended up doing genetics and computational biology with Leonid Kruglyak at the Fred Hutchinson Cancer Research Center. I spent three summers there working on all sorts of computational genetics (genetic linkage analysis, haplotype inference, phylogeny). Since then, all my research has focused on that stuff.
College Looking at colleges it was a close call between Stanford and MIT. Taking it right to the deadline, Stanford won out because of more attractive undergrads and better weather. Turned out to be a good choice because here I am at grad school, and now I've been at both places. (don't be stupid, if weather or hot students actually mattered I'd be at UCSD right now. I chose Stanford for academic reasons) I majored in Chemistry with a minor in Bio. Prof. Richard Zare was my academic advisor but I never even looked at doing research in pure chemistry.
In my sophomore year I got involved in biostatistics in medical research with Dr. Harvey Cohen in the Dept of Pediatrics at the Stanford med school. All the details are in the Research. Research on the border of clinical applications didn't take long to stretch my world-view around the big picture. Working with an anonomized dataset from premature infants I realized six samples had been marked as "Deceased." That stretched my world really brought the the big picture into focus.