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Current Students

A listing of the current IQ Biology students

Fall 2018 IQ Biology PhD Students 

Fall 2017 IQ Biology PhD Students

Fall 2016 IQ Biology PhD Students



Fall 2015 IQ Biology PhD Students

Fall 2014 IQ Biology PhD Students

Back row from left to right: Jamie Morton, Carter Tillquist, Patrick Heenan.  Front row from left to right: Chris Smith, Kristen Sterns, Antony Pearson



Fall 2013 Class of IQ Biology PhD Students



2012 Class of IQ Biology PhD Students


2011 Class of IQ Biology PhD Students

IQ Biology students from left to right: Back row: Joey Azofeifa, Topher Weiss-Lehman, Nora Connor, Adam Robbins-Pianka, Lauren Shoemaker, Sam Way, Kyle Keepers, Anna Briodo, Aaron Wacholder.  Front row: Aaron Aziz, Kathryn Palma Wall, Carlos Vera-Velazquez







The 1st IQ Biology Graduate!

Check out Dan's new adventure and his advice to incoming graduate students.

Dan KnightsDan Knights(IQ Biology).jpg

What inspired you to pursue a graduate degree?
As a researcher in machine learning, a high school math teacher, and a recreational puzzle solver, I have often asked myself the same question: what is the essential structure of a given problem? How can I model the world at such a fundamental level that the model can be applied to an entire class of phenomena? In my research, course work, and work as a teacher, I have enjoyed uncovering such generalities and relationships. By working in computational biology, I can apply my methodological developments directly to real biological data. Obtaining my doctorate and working as a professor will allow me to dedicate part of my time to teaching at the undergraduate and graduate level, while also giving me the time and resources for independent scientific exploration.

Why did you choose IQ Biology and CU-Boulder for your graduate work?
I came to CU-Boulder primarily for the university's top-notch collaborative research environment. My research is inherently interdisciplinary, because it is tied directly to experimental biology, and CU-Boulder has strong research faculty in both the computational and life sciences. Many of these faculty are involved in the IQ Biology program. Through my work in Rob Knight's lab I have had the opportunity to collaborate with researchers at a wide variety of institutions around the country and the world.

Please tell us a bit about your future interdisciplinary research interests?
I am working on advanced data mining techniques to determine which of the thousands of bacterial species living on and in the human body contribute to various human diseases. Next-generation DNA sequencing technologies are allowing us to collect very detailed snapshots of these communities at an ever-decreasing cost, but analyzing this data remains challenging because no two people have exactly the same configuration of bacteria. The ultimate goal of my work is to build computational models that can predict therapeutic outcomes from these types of data on a personalized basis for the treatment of malnutrition, enteric diseases, and other diseases related to the human-hosted microorganisms.

What has been your favorite IQ Biology experience so far (and why)?
The IQ Biology Foundations course has been my favorite experience so far. It is fast-paced and covers a wide range of important and exciting topics in quantitative biology with enough detail to make it worthwhile. I feel very lucky to have the opportunity to learn these topics "bootcamp"-style instead of having to slog through half a dozen separate undergraduate introductory-level courses.

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