Brendan Griffen

CTO & co-founder

Scaled Biolabs Inc.

Hi. I’m Brendan, a computational astrophysicist by training with core interests in biology, engineering and computer science based in San Francisco, California.

I’m currently CTO and co-founder of Scaled Biolabs, a data driven, full-stack biotechnology company focused on discovering and developing next generation cell therapies.

I have a number of other professional affiliations including being project leader of the Caterpillar Project, a large computational galaxy formation project at MIT. I am also a project collaborator on the Illustris Project at Harvard. You can find a few of my musings in these areas on my project page or throughout my semi-active blog.

Interests

Bioinformatics
Computational Astrophysics
Digital Humanities
National Parks
Intensity

Education

Postdoctoral Research Fellow, 2016
Massachusetts Institute of Technology
PhD in Computational Astrophysics, 2012
University of Queensland
Masters in Physics (Honours), 2007
University of Queensland
Bachelor of Science (Physics | Math), 2006
University of Queensland

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.