Brendan Griffen

CTO & co-founder

Dynomics

Hi. I’m Brendan, a computational astrophysicist by training with core interests in biology, engineering and computer science based between San Francisco, California and Brisbane, Australia. I enjoy combining different technologies to solve challenging problems.

I’m currently Chief Technology Officer and co-founder at Dynomics, a startup focused on reversing heart failure, deploying complex in silico and in vitro systems at the intersection of computer science, robotics, tissue engineering, immunology and stem cell biology.

I’m also the Project Lead on the Caterpillar Project, a large computational galaxy formation suite at MIT focusing on the origin and evolution of the Milky Way. I am also a project collaborator on the more general galaxy formation project of Illustris at the Center For Astrophysics at Harvard University.

Interests

Cardiac Tissue Engineering
Systems Biology
Astrophysics
Digital Humanities
AI & Machine Learning
Natural Language Processing
National Parks

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

Dynomics Inc.

Feb 2020 – Present San Francisco, California, USA | Brisbane, Australia

Combining cardiac biology, computer science, robotics, bioengineering and omics data to find molecules that reverse heart failure.

Areas include:
► computer vision, video microscopy, image cytometry, signal processing
► distributed supervised and unsupervised machine learning models
► multi-dimensional data optimization, processing and statistical modeling
► cloud based analysis and discovery

Additional support in marketing, accounting, sales, legal and everything else that powers an early stage company.

CTO & co-founder

Scaled Biolabs Inc.

Nov 2016 – Feb 2020 San Francisco, California, USA

Deploying microfluidics, automation, and machine learning to develop next generation cell-based medicines. Providing full-stack integration of hardware, wetware and software for high-throughput, high-detail biology. Additional support in marketing, sales, legal and everything else that powers an early stage company. 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.