Enthought Announces Formation of Digital Transformation, Materials Science Advisory Boards

Austin, TX – June 15, 2021 – Enthought, the leading provider of technologies and services that deliver digital innovation to science-driven companies, is experiencing rapid growth as companies look to accelerate their adoption of new technologies, such as artificial intelligence and machine learning, in response to COVID-19. In support of Enthought’s growth, strategic vision and expansion of the compelling solutions provided to customers, the company today announced it has formed two new Advisory Boards for its Digital Transformation and Materials Science groups and the participation of four world-class experts to serve as advisors.

The role of each Board is to provide strategic guidance on Enthought’s go-to-market priorities, and to help deliver innovative and best-of-breed solutions to its far-reaching roster of internationally recognized science-based customers.

“I am pleased to announce the additions of the Digital Transformation and Materials Science Advisory Boards as we continue to build momentum and capitalize on the tremendous market opportunity in the digitalization of scientific innovation,” said Bill Cowan, President at Enthought. “The breadth and depth of the Boards’ collective expertise will no doubt drive transformative results for our customers and Enthought.”

The Digital Transformation Advisory Board is chaired by Dr. Michael Connell, Chief Operating Officer and Chief Digital Transformation Officer at Enthought. The Board’s inaugural members include Dr. Bryan Moser, Academic Director of Massachusetts Institute of Technology’s System Design and Management (SDM) Program; and Dr. Bernie Jaworski, Peter F. Drucker Chair in Management and the Liberal Arts at the Drucker School of Management, Claremont Graduate University.

“In a post-pandemic world, digital transformation means more than just technology adoption. To form a fully-realizable digital transformation strategy that gives your company the competitive edge, change must be foundational and extend to your employees – their skills, behaviors, mindsets and processes,” said Dr. Michael Connell, COO, CDxO, Enthought. “At Enthought, our customer success stories reinforce the power of applying digital transformation initiatives from the ground-up. I am excited to work with the Board to continue to help science-driven companies cultivate their digital DNA and empower them with technologies that enable future agility and innovation.”

The Materials Science Advisory Board is chaired by Dr. Chris Farrow, Vice President of Materials Science Solutions at Enthought. The Board’s inaugural members include Dr. Patrick Spicer, Associate Professor at University of New South Wales’ School of Chemical Engineering; and Dr. Roger Bonnecaze, the William and Bettye Nowlin Chaired Professor in the McKetta Department of Chemical Engineering at the University of Texas at Austin.

“I am honored to chair the Materials Science Board, and look forward to collaborating with other like-minded experts in the field to advance Enthought’s mission of bringing much needed digital innovation capabilities to materials science companies,” said Dr. Chris Farrow, VP, Materials Science Solutions, Enthought.

Share this article:

Related Content

Retuning the Heavens: Machine Learning and Ancient Astronomy

What can we learn about machine learning from ancient astronomy? When thinking about Machine Learning it is easy to be model-centric and get caught up…

Read More

Announcing Enthought Academy

Dear Students and Friends of Enthought,  I am pleased to announce Enthought Academy—the culmination of over twenty years of teaching Scientific Python. Since our founding…

Read More

Extracting Target Labels from Deep Learning Classification Models

In the blog post Configuring a Neural Network Output Layer we highlighted how to correctly set up an output layer for deep learning models. Here,…

Read More

True DX in the Pharma R&D Lab Defined by Enthought

Enthought’s team in Japan exhibited at the Pharma IT & Digital Health Expo 2022 life sciences conference in Tokyo, to meet with pharmaceutical industry leaders…

Read More

Exploring Python Objects

Introduction When we teach our foundational Python class, one of the things we do is make sure that our students know how to explore Python…

Read More

Choosing the Right Number of Clusters

Introduction When I first started my machine learning journey, K-means clustering was one of the first algorithms I was introduced to – and it is…

Read More

Prospecting for Data on the Web

Introduction At Enthought we teach a lot of scientists and engineers about using Python and the ecosystem of scientific Python packages for processing, analyzing, and…

Read More

Life Sciences Labs Optimize with New Digital Technologies and Upskilling

Labs are resetting the trajectory for drug development: reducing timelines from years to months; decreasing costs from billions to millions; and gaining an advantage by…

Read More

Configuring a Neural Network Output Layer

Introduction If you have used TensorFlow before, you know how easy it is to create a simple neural network model using the Keras API. Just…

Read More

No Zero Padding with strftime()

One of the best features of Python is that it is platform independent. You can write code on Linux, Windows, and MacOS and it works…

Read More

Join Our Mailing List!

Sign up below to receive email updates including the latest news, insights, and case studies from our team.