#CBSymp16: Planting signposts on a rapidly-advancing field
I’ll be attending the PLoS Computational Biology Symposium — “Computational Biology: Past, Present, and Future” — at the National Institutes of Health. As I make my first pilgrimage to the NIH, I can’t help but feel the palpable shift the field of computational biology has undergone, maturing into an enterprise that “do[es] not [just] support biological research but drive[s] it” in a major way.
As a devout computational biologist and an early-career scientist, I’m looking forward to hearing from the leading researchers in this field and it’ll be my pleasure to share their perspectives and visions with you all through this blog!
A little bio:
My research focus is on using statistics and machine learning over large genomic/clincal data collections to gain more nuanced and accurate insights into the genes and networks underlying physiology, complex diseases, and clinical phenotypes. [Phew!]
I decided I was going to “do genetics when I grow up!” when I watched Jurassic Park as a 9-year-old. Currently, I’m a senior researcher at Princeton University and I’ll soon be an Asst. Professor at Michigan State University. For more, check out www.arjun-krishnan.net. Catch me on Twitter @compbiologist.
Any views expressed in the blog post are my own and not necessarily those of PLoS.
