Accelerating Biomedical Innovation with Digital R&D: Large-scale Design Exploration, Digital Twin, & AI/ML
December 15, 2020 | 1 pm to 2 pm EST
It’s no secret that there has never before been a higher demand for rapid advancements in biomedical research and product development. From accelerating new drug and vaccine discovery to developing intelligent wearable medical devices, many engineers and scientists are facing pressure to overcome the constraints of traditional engineering resources and processes in the name of innovation.
So...how can these demands be achieved?
In this webinar, we will explore how companies are successfully incorporating trends like Large-scale Design Exploration, Digital Twin, and AI/ML into their research and product development phases in order to meet this rapid demand. We will also cover how the rise of advanced computational and statistical models combined with the flexibility and scale of hybrid cloud is empowering researchers and scientists with the tools and resources to advance science and engineering breakthroughs.
Guest speakers will be announced later on this week.
Rescale helps organizations accelerate science and engineering breakthroughs, by eliminating the complexity of big compute with intelligent full stack automation and the near-infinite power of hybrid cloud.
High-level overview of trending topics and use cases that will be covered during this webinar:
- Large-scale Design Exploration: leveraging the scale and availability of cloud computing to explore a broader design space and achieve more optimal designs faster and more efficiently
- Digital Twin: combining data from the physical environment with advanced simulation can enhance the design process and identify new design features
- Artificial Intelligence and Machine Learning: statistical modeling and machine learning algorithms can leverage the growing volume and variety of data to add intelligence to the design process and enable new product features
- Modernizing High Performance Computing: the Rescale Platform offers intelligent full-stack automation for big compute and R&D collaboration on hybrid cloud, equipped with a control plane for managing security, architecture, and financial controls
Eric Muir, PhD
Ph.D. in Aerospace Engineering from the University of Michigan
Solutions Architect, Solutions Engineering
Eric works with customers across the life sciences, aerospace, and automotive industries; empowering them to accelerate innovation with the scalability and agility of cloud computing. He is enthusiastic about Rescale's vision to enable engineering and scientific simulation in the cloud and help accelerate the next generation of technological breakthroughs. Prior to joining Rescale, Eric worked at the Boeing Company in Seattle as an engineer, data scientist, and manager.
John Thomas is a scientist at M-Star CFD. His research interests include GPU-based computing, multi-physics modeling, bioreactor design, and fluid mixing process. Outside of M-Star CFD, he is a Research Professor at Johns Hopkins University, where he teaches courses in multiscale mathematical modeling and transport physics. He has MS/PhD degrees in Mechanical Engineering from Carnegie Mellon and a BS degree in the same field from Penn State.
Cost: No cost!