Brief History

 
 
 
 
 

CTO & co-founder

Scaled Biolabs Inc.

Nov 2016 – Present San Francisco, California, USA

Working at the frontier of microfluidics, automation, and machine learning. Providing full-stack integration of hardware, wetware and software for high-throughput, high-detail biology.

Areas include:
► computer vision, image prcessing, data wrangling
► full stack tools for creating and executing digital protocols
► distributed supervised and unsupervised machine learning models
► multi-dimensional data optimization, processing and statistical modeling
► hardware automation including microfluidic integration

Additional support in marketing, sales, legal and everything else that powers an early stage company (all heavily data driven). Graduate company of Indie Bio (batch 4), the world’s largest biotech accelerator.

 
 
 
 
 

Postdoctoral Fellow

Massachusetts Institute of Technology

Oct 2012 – Nov 2016 Cambridge, Massachusetts, USA

Using computational physics to better understand galaxy evolution, non-linear structure formation, and the early Universe.

Areas include:
► non-linear dynamics, radiative transfer and N-body computation
► petascale computing and large scale analytics
► predictive modeling of billions of N-dimensional data points
► development of novel computational algorithms and analysis pipelines
12 published scientific papers, $200k in development grants awarded
► 10+ million CPU hours awarded on national supercomputing facilities
► The Caterpillar Project leader at MIT.
► A Illustris Project collaborator at Harvard.

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