Autonomy Expert Dr. Lauren Reinerman-Jones Joins SoarTech as Senior Scientist

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Dr. Lauren Reinerman-Jones is the newest member to join the Soar Technology, Inc. team as Senior Scientist. Most recently serving as the Director of Autonomous Systems Mobility Simulation and Training Lab at the University of Alabama at Birmingham, Reinerman-Jones leveraged over a decade of Human-Robot Teaming and Autonomous Systems research to help stand-up the Autonomous Vehicle Mobility Institute (AVMI) through a $35 million Congressional Add in concert with the Army and NATO. 

“Dr. Lauren Reinerman-Jones’ expertise in Autonomous Systems Mobility, as well as Human-Robot Teaming and Autonomous Systems research, will be a big help to SoarTech,” said Dylan Schmorrow, Dylan Schmorrow, Chief Science Officer. “I expect very big things from Lauren and look forward to SoarTech’s current autonomy team quickly benefiting from her leadership and experience. In particular, SoarTech will immediately leverage her expertise related to Army and Marine Corps robotics, her passion in leading and managing teams, and her general expertise related to autonomous vehicles, modeling and simulation, human factors, and training. The record she has amassed over the course of her career as a scientist and author is exceptional and she is already a proven business capture professional with a broad range of customers and contacts.”

Much of Dr. Reinerman-Jones’ work has been funded by various branches of Department of Defense (DoD) in unclassified and classified domains. She led her team in evaluating the simulated training environments for the Marine Corps Training and Education Command (TECOM), Special Operations Command (SOCOM), and the Army Combat Capabilities Development Command (CCDC DEVCOM), including the Army’s newest Synthetic Training Environment. She was a co-investigator on the Navy’s Ready Relevant Learning (Sailor 2025), documenting and creating new curriculum for all sailor positions. 

Additionally, she conducted research on medical student and nurse learning modality using 2D PowerPoint slides, VR in the Vive, and holographic images through Z-Space. A partnership with the Air Force enabled accommodation of the RESCHU, ALOA, and IMPACT simulators for investigating stress, fatigue, resilience, transparency (trust), and multiple entity control performance during unmanned aerial vehicle operation. 

Dr. Reinerman-Jones spent 11 years running one of the most innovative labs at the University of Central Florida’s Institute for Simulation and Training focused on assessment for understanding, predicting, and improving human performance and system design. As such, she is an expert in using and creating a variety of assessment methodologies including physiological, questionnaires, performance, behavioral, and phenomenological. She developed a method for using electroencephalogram (EEG), electrocardiogram (ECG), transcranial Doppler (TCD), functional Near-Infrared (fNIR), electromyography (EMG), Galvanic Skin Response (GSR), thermography, and eye tracking independently and in combination. These sensors are a combination of FDA grade and wearables. 

She designed, wrote requirements, and co-developed software for real-time synchronizing of any combination of those sensors and with simulated and live environments. That capability enabled successful delivery of a closed-loop human-robot teaming and intelligent tutoring capability for the Army. 

She also ran the Nuclear Regulatory Commission’s (NRC) Human Performance Test Facility for 9 years and completed 12 nuclear power plant operator courses. That work focused on stress, workload, operator performance, and teamwork. The outcomes directly impacted regulation. She developed a standardized method for rapid research enabling 500-1000 participants per year to be run through laboratory experiments, field studies, and training exercises. 

She led the development of several award-winning simulation platforms, Human-Agent communication interfaces, and robots for the DoD, NRC, IARPA, and John Templeton Foundation. 

Dr. Reinerman-Jones’ expertise in autonomous systems and human-robot teaming was recognized by an invitation to participate in the Artificial Intelligence and Human-Robot Teaming Summit organized by the Secretary of Defense. 

She was the chair of the Trust in Autonomy and Cybersecurity Sub-TAG of the DoD Human Factors and Ergonomics (HFE) Technical Advisory Group (TAG) and co-chair of the Artificial Intelligence in Human-Computer Interaction Conference. She also organized the first International Conference on Awe and Wonder, and successfully solicited funding and organized two Cyber TRAINsitions Workshops. 

Dr. Reinerman-Jones serves as the chair and/or is on the board of many other conferences, journals, and academic institutions, and has over 100 publications. She is recognized internationally as a leader in research, having presented throughout the world, and has received several awards including: Admiral Leland S. Kollmorgen Spirit of Innovation Award for Augmented Cognition by the Human Factors and Ergonomics Society Conference; Best Poster Award for Developing a Simulated Environment for Insider Threat Detection at the IEEE CogSIMA Conference; the UCF Research Initiative Award; and the UCF Inaugural Luminary Award. 

Her successful delivery of project products has been recognized by sponsors through letters of recognition, various events, and bestowing of coin. Her work has directly impacted requirements, regulations, and policies.  

Dr. Reinerman-Jones earned her Ph.D. in Human Factors Psychology, a master’s in Human Factors/Experimental Psychology, and two bachelor’s in psychology and communications, all from University of Cincinnati.

Welcome to the SoarTech team, Dr. Reinerman-Jones!

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