9th Presentation | AI-Driven Autonomous Materials Engineering Platforms | Filippos Tourlomousis
You can watch presentation’s rercording here!
NanoAI welcomes Filippos Tourlomousis who will present his work, titled “AI-Driven Autonomous Materials Engineering Platforms”.
As always, an open discussion will follow.
When? October 6th, 15:30 Greece
Description: There is a growing interest to leverage data-driven models (AI and ML) to help discover new materials, accelerate material optimization, and lower costs by reducing expensive laboratory measurements. However, building data-driven models and eliminating experiments are often mutually exclusive ideas in scientific discovery. The strength of data-driven models is directly proportional to the amount and quality of data that they are trained on, and experiments are where these data are produced. Thus, this vision of simulation and AI-driven exploration and design relies on a significant change to the status quo in many laboratories. In this lecture, I will describe how autonomous materials engineering labs powered by automation and active learning for optimal experimental design can help accelerate the discovery and optimization of new materials for healthcare and the circular economy.
Filippos Tourlomousis is a mechanical engineer. His main research interests lie in the field of intelligence and robotics infrastructure for self-driving materials labs of the future (a.k.a. “robot scientists”). He is developing AI-driven autonomous materials engineering platforms that include novel 3D printing methodologies for the fabrication of lattice structures with resolutions spanning microns to cm length scales for energy and healthcare applications. With these new tools, he has demonstrated a wide range of material systems ranging from 3D microscale biomaterial scaffolds capable of programming stem cell replication by pure manipulation of cell shape to large-scale metamaterial morphing robots for hydrodynamic applications. Filippos is an E14-fund fellow and the founder/CEO of Biological Lattice Industries, an early-stage biotechnology company that is developing an AI-driven robotic biofabrication platform for tissue engineering and regenerative medicine applications. In addition to that, he is the lead AI & ML engineer for Materiom, a non-profit organization that provides open data on how to make materials that nourish local economies and ecologies funded by Google’s Impact Challenge on Climate fund. Filippos holds research affiliations with the Highly Filled Materials Institute (NJ, USA), where he completed his Ph.D. and got the Excellence in Research Award for his contributions to the processing of complex fluids. He also holds a research affiliation with the MIT Center for Bits and Atoms (CBA), where he was a Postdoctoral researcher for 4 years before joining Demokritos. Filippos has published in prestigious journals such as Science Advances and Microsystems & Nanoengineering, Nature. His work has been featured in Wired, the Economist, Nature Publishing Group, Nature China, MIT News, and the Vanguard by GE. Lastly, he has served as a reviewer for established journals such as Advanced Materials, Advanced Functional Materials, Advanced Engineering Materials, Biofabrication, and others.
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You can find more info on this upcoming talk as well as on our previous talks at http://nano-ai.iit.demokritos.gr/