BME/IQ Speaker: Preyas Shah, PhD

Event Date/Time: 
February 27, 2019 - 11:00am
Event Location: 
IQ Atrium (775 Woodlot Dr)
Preyas Shah
Massively Parallel Processing To Understand Biological Heterogeneity at Single Cell Resolution

Dr. Preyas Shah is a Senior Scientist working on computational algorithms and statistical learning for R&D at 10x Genomics. He received his MS and PhD at Stanford University in Mechanical Engineering, and his Bachelors at Indian Institute of Technology- Bombay.  Dr. Shah completed his thesis under Eric Shaqfeh's guidance on the modeling of diffusive nanoparticle transport to porous vasculature. At 10x, he has applied his mathematical expertise to lead the creation of the computational pipelines for the singlecell ATACseq solution, a powerful method to analyze large scale epigenetic data at single cell resolution. Prior to working on singlecell ATACseq, Dr. Shah also designed algorithms for the de-novo genome assembly solution "Supernova", which is used for reconstruction of genomic sequences from linked short sequencing reads. Dr. Shah enjoys working and collaborating in interdisciplinary areas, and has published articles in fluid mechanics, biophysics, genomics and robotics. He is currently working on hypothesis testing in large scale genomic data and integrating singlecell datasets. Outside of work, he spends time swimming and playing Ultimate frisbee near his home in San Jose. You can reach him at or on Twitter at @preyasshah.

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