Tim is Co-Founder & CTO at DeepSig Inc, a venture-backed startup building unique AI/ML driven baseband technology which is pioneering the route to the AI-Native 6G RAN, making 4G MIMO and 5 mMIMO vRAN systems performant and autonomous, and pioneering the data-driven sensing and communications intersection with OmniSIG, the state of the art in data-driven wideband RF emission detection, mapping and analytics for vRAN and off-network sensing applications. Tim also serves as a research assistant professor at Virginia Tech in Arlington, VA, and previously worked with a USG lab on applied software and cognitive radio R&D helping lead the GNU Radio project. He is a Co-Chair of the IEEE Emerging Technology Area on Machine Learning for Communications, an editor for Transactions on Wireless Communications and TCCN, and organizer for IEEE SPAWC, IEEE INFOCOM, IEEE GlobeCom, IEEE ICC MLC workshops, GNU Radio Conference, and other events. He has authored of over 50 peer reviewed works with over 4500 citations, over 40 patents on machine learning in wireless communications.
Previously he has previously worked with Hawkeye 360, Federated Wireless, Cisco Systems, and Stochastic Research. He has served on technical advisory boards for NSF, DARPA, EU HORIZON 2020, and other USG programs, and he completed his PhD from Virginia Tech ECE in 2017 and his BS/MS in ECE at NC State in 2007.