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

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Selected Invited Talks

Selected Posters

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