Laurel Ng, Ph.D., Pmp Email and Phone Number

Lead R&D projects to create predictive models for concussion and related injuries and pathologies. Aid in collection and management of experimental datasets. Contribute to research strategy and direction.

Oversaw a broad range of small to multi-million dollar, highly technical projects with integration across several engineering specialties with a physiologic emphasis. Employed innovative but practical methodology to deliver products in a timely and cost-effective manner. Bridged communication between customers, internal program management office, executives, engineers, and scientists. Models range from end-to-end predictive concussion models, blunt trauma injury models, dynamic physiologic response to stressors, physical performance outcome, head supported mass injury, toxic gas inhalation injury, burn injury, and bone stress fracture analysis. For each project, I actively work to ensure that high scientific integrity is maintained, innovative but practical methods are employed, and products are completed and delivered in a timely manner. Customers include Military Research and Materiel Command-Military Operational Medicine Research Program, Joint Non-Lethal Weapons Directorate, and Office of Naval Research.

Principal Investigator on several multi-year DoD contracts including advanced total body model for blunt trauma injury assessment; physics-based acute physiology response models; and a multi-scale, end-to-end predictive concussion model. Maintained regular and close interaction with customers through regular meetings, calls, and email. Accustomed to presenting at high-level project reviews attended by military leadership and subject matter experts.

Developed physics-based computational models of physiologic systems to understand physiologic response and injury outcomes from environmental stressors (e.g., heat/cold, exercise, and toxic gas inhalation), physical activity/exertion, and weapons exposure (e.g., blast overpressure, blunt impact.) Models were rooted in fundamental processes that govern the response rather than an empirical correlation.