계산분자생물학 연구실

I am an Assistant Professor in the Department of Bio and Brain Engineering and Graduate School of Engineering Biology at KAIST. Previously, I had the opportunity to work very closely with molecular biologists in V. Narry Kim’s lab at Seoul National University. In 2016, I received my Ph.D. in Computer Science at Princeton University working with Olga G. Troyanskaya. As an undergraduate, I majored in both Computer Science and Mathematics at the University of Texas at Austin where I was first introduced to computational biology by Tandy Warnow. I never teach my pupils; I only attempt to provide the conditions in which they can learn. The advent of massive open online courses has changed the way we look at education and challenges traditional views on the role of instructors. Simple transfer of knowledge is no longer the rate limiting step for educating the next generation. Instead, knowledge is now accessible to anyone with a computer, tablet or mobile phone with a connection to the internet. I’ve also benefited tremendously from these initiatives, but at the same time forced me to reevaluate my pedagogical values. This led me to my three foundations of instruction and mentorship: construction, selection, and interaction. All of which are the basis of the following courses shared below. Biology is not random, just largely unknown. There are almost an infinite amount of possible interactions, yet only a sparse handful constitutes a complex living system. To narrow down this vast search space, massive amounts of biological data are being generated to capture snapshots or snippets of the functional genome, multicellular heterogeneity, and complex human diseases. In this effort, bioinformatics algorithms play a key role in interpreting these large data collections and elucidat