Free Webinar | Worldwide Distributed Computing Initiative Tackling COVID-19 Drug Discovery

July 15, 2020 | 1:00-2:00 pm EDT

We don’t know what we don’t know – especially when it comes to COVID-19. Getting the information we need to contain the virus requires extensive research capacity – far beyond the reach of any one organization. Our partnership is bringing the computing power of more than 2 million citizen scientists to bear on COVID-19 research. We are focusing this enormous aggregate computing firepower – nearly 10 times greater than the world’s fastest traditional supercomputer – on understanding protein dynamics and enabling the development of effective drugs to battle COVID-19. This presentation will outline our three-pronged approach:

  • Gaining a better understanding of how viral proteins infect human cells, evade an immune response, and replicate the virus
  • Identifying novel binding sites for small molecule drugs that can be a starting point for rational drug design
  • Performing massive computational screens to identify chemicals that could be developed into drugs


Zack Murphy, Global Vice President, Field Solutions and Data Architecture, Pure Storage

  • Gregory R. Bowman, PhD, Associate Professor, Biochemistry & Molecular Biophysics, Washington University School of Medicine; Director, Folding@home

  • Brian Carpenter, Senior Director, Flashblade Technology Strategy, Pure Storage

Speaker Biographies

Gregory R. Bowman, PhD
Associate Professor, Director of Folding@home, Associate Director, CSELS, Department of Biochemistry & Molecular Biophysics, Washington University School of Medicine

Greg Bowman lost much of his vision to a juvenile form of macular degeneration at age 8. This tragedy inspired a passion for the biomedical sciences. However, experimental biology labs are not terribly accessible to the visually impaired. Fortunately, Greg also discovered a love of computer science that provided an alternative avenue to study biology. He earned a doctoral degree in computational biophysics, where he made important contributions to our understanding of how proteins “fold” into their functional three-dimensional structures. Now Greg is an Associate Professor at the Washington University School of Medicine in St. Louis, where he integrates computer simulations and experiments to understand the mechanisms of human disease and identify novel means to design new therapeutics. He is the Director of the Folding@home project, which creates an unprecedented computational resource by pooling the computer power of millions of volunteers. Greg’s lab and the Folding@home team have contributed to many areas of science but are currently focused on understanding the SARS-CoV-2 virus and identifying new therapeutic opportunities for combatting COVID-19.

Brian Carpenter
Senior Director, Flashblade Technology Strategy, Pure Storage

Brian is an experienced chief technologist, public speaker and thought leader with a demonstrated history of working in the Data Science and Advanced Analytics Industry. At Pure Storage, he enables customers’ journeys to high-performance outcomes with Artificial Intelligence, Advanced Analytics, and Platform as a Service. Brian’s served in a variety of roles including heading up IT Departments, creating and fostering technology alliances, and business development initiatives for the data storage industry. He is a trusted advisor with real-world customer experience who can translate complex issues (and common struggles) to both technologists and executives alike. He has shared his passion for technology as a business enabler through mentoring programs for new hires and advising startups on IT strategy and value propositions to the business.

Zack Murphy
Global Vice President, Field Solutions and Data Architecture, Pure Storage

Zack Murphy leads the file and object solutions and data architecture practice for Pure Storage. He has worked in software and infrastructure technology for the entirety of his 20 year career across many industries and disciplines but most recently with focused interest in genomic data analysis.