Dr. Brent M. Segal serves as the 1st Director of Collaboration at #LockheedMartin. The opportunity to work with great commercial companies to push forward capabilities for DoD is here. Thank you to my great partners and leadership of James Taiclet . This is just the beginning.
Previously Dr. Segal served as the 1st Director of Artificial Intelligence leading a team providing GPU-enabled compute, training, engagement with programs and cutting edge capabilities in Artificial Intelligence. He also was the 1st Lockheed Martin Corporate Technology Scout focused on engagements with small medium enterprises and venture capital firms and the Deputy for Enterprise Autonomy.
Previously Dr. Segal served as Director of Advanced Research Programs at Lockheed Martin Corporate Engineering and Technology and also Chief Scientist, Nanotechnology at the Lockheed Martin Advanced Technology Center.
Dr, Segal is a Co-founder and former Chief Operating Officer of Nantero, a leading Nanotechnology company where he oversaw operations with ON Semiconductor, Brewer Science, BAE and ASML.
Dr. Segal is an active fundraiser, helping Nantero to raise more than $31.5 M in three private equity rounds and >$50M in government programs. He headed operations at Metaprobe LLC, raising >$5 M in private equity financing. He was a Research Associate at Nycomed Salutar, Inc. where he developed X-ray contrast agents for medical imaging.
He received his PhD in Chemistry from Harvard University in 2000 and has published in journals including JACS and IC. He is frequently invited to speaking engagements such as TechConnect 2006-19.
He is co-author of over 250 patents and applications. He is a graduate of Reed College, with a BA in Biochemistry.
Specialties: Autonomy, AI/ML, deep learning, Venture Capital, entrepreneurial startups, IP protection, nanotechnology, chemistry, biochemistry, pharmaceuticals, healthcare IT, interoperability, standards, nanoelectronics, cleantech, energy, clean energy and sustainability.
In his spare time he enjoys computer vision, reinforcement learning and programming edge computing powerhouses like the NVIDIA Xavier.