About Me

Imran S. Haque, PhD

Contact

Email: ish AT ihaque.org
Twitter: ImranSHaque
Mastodon: @ihaque@genomic.social GitHub: ihaque
LinkedIn: imranshaque

Bio

By training, I’m an engineer and computer scientist, focusing on machine learning and fast, scalable code. By interest, I’m a computational biologist, with interests in (epi)genetics, structural biology and biophysics, computational chemistry, and drug discovery.

Since 2019, I have worked at Recursion leading the data science department (as VP, Data Science and since 2023, SVP, AI and Digital Sciences); we are an interdisciplinary group of data scientists, machine learning scientists, computational biologists, and computational chemists working to transform drug discovery through the combination of high-throughput experiment and large-scale computational modeling. Prior to Recursion, I served as Chief Scientific Officer at Freenome from December 2016 to October 2018, where I supervised Freenome’s R&D (ranging from molecular biology and assay development through computational biology and machine learning) to develop blood-based early cancer diagnostics. Prior to Freenome, from 2011 through 2016 I was VP, Scientific Affairs, Director, Research, and Senior Software Engineer at Counsyl (acquired by Myriad Genetics in summer 2018; now Myriad Women’s Health), where I managed research in early technology development, clinical development, scientific publications, and wetlab-focused software engineering and computational assay development.

I completed my Ph.D in Computer Science from Stanford University in June 2011, co-advised by Vijay Pande and Daphne Koller. My research focused on methods for large-scale machine learning for drug discovery (thesis: Accelerating Chemical Similarity Search Using GPUs and Metric Embeddings), and I did additional non-thesis work in protein folding, high-performance computing, and computer architecture. During my PhD, I interned at Vertex Pharmaceuticals with Brian Goldman and Pat Walters, developing methods for computational drug discovery. In 2006, I graduated from UC Berkeley with highest honors with my B.S. in Electrical Engineering and Computer Science (Go Bears!). I did undergraduate research with Profs. Kathy Yelick, Bora Nikolic, and John Wawrzynek. I was also a member and officer for several semesters at the Berkeley Mu Chapter of HKN (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.

Publications and Preprints

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2011

2010

2006

Selected Invited Talks

Selected Posters

2023

2022

2018

2017

2016

2015