Imran Haque
Ph.D. Graduate, June 2011 (thesis)
Stanford University, Department of Computer Science
Advisor: Vijay Pande (Chemistry)
Advisor: Daphne Koller (Computer Science)
ihaque (at) cs [dot] stanford [dot] edu

Bio

Curriculum Vitae

I graduated in June 2011 with a Ph.D in Computer Science from Stanford. My thesis was titled Accelerating Chemical Similarity Search Using GPUs and Metric Embeddings. I am currently a scientist at a biotech startup in the San Francisco Bay Area.

At Stanford I worked in the Folding@Home research group, and was primarily advised by Prof. Vijay Pande. I was co-advised in the CS department by Professor Daphne Koller. My primary research focus was in computational drug design, but I also have interests in data visualization, computational biology, and distributed systems.

Before coming to Stanford, I graduated from the University of California, Berkeley, with a degree in Electrical Engineering and Computer Science (Go Bears!). I did undergraduate research with Professors Kathy Yelick, Bora Nikolic, and John Wawrzynek. I was also a member and officer for several semesters at the Berkeley Mu Chapter of Eta Kappa Nu.

Even further back, I graduated from Bellarmine College Preparatory in San Jose (Go Bells!). I doubt any high school students will care to read this page, but if you do, I strongly encourage you to do (as I did), speech and debate. Without a doubt, the skills I gained there have been extremely useful to me.

Outside the lab, I sing in the Stanford University Singers, and while I think long walks on the beach are rather boring and slow, I find such things much more interesting on a bike.

Publications

Past Projects

In silico cheminformatic prediction of toxicity

Predicting activity and toxicity of prospective drugs in silico... [show details]

Investigating soft error rates in GPU memory

GPUs originated in error-tolerant graphics applications, but are now used for error-intolerant scientific computing... [show details]

Methods for virtual high-throughput screening

Biophysical methods to computationally estimate binding affinity and compound activity... [show details]

PAPER - Accelerating Parallel Evaluations of ROCS

PAPER is a GPU-accelerated implementation of Gaussian molecular shape overlay (the algorithm in OpenEye ROCS)... [show details]

gCensus(-GT): Free Online GIS with Google Earth

Poor organization and expensive software should not restrict the public's access to public data.... [show details]

Protein folding mechanics

The mechanism by which proteins fold into their native shapes is an open problem in biophysics... [show details]

Computational analysis of genome regulation

Genome sequences alone do not tell us how genes are expressed in vivo... [show details]

Architecture and Implementation of LDPC Codecs

Low-density parity check codes closely approach the Shannon limit, but their maximum-likelihood decoding is NP-hard... [show details]

Selected Talks

Selected Posters

Teaching

Stanford Coursework

Friends

Thumbnail for GPU SER project used under Creative Commons Attribution-Noncommercial License:
http://www.flickr.com/photos/timcaynes/ / CC BY-NC 2.0