Academic Credentials
  • Ph.D., Systems Engineering, Arizona State University, 2021
  • M.S., Systems Engineering, Arizona State University, 2018
  • B.S.E., Engineering, Arizona State University, 2016
Professional Honors
  • National Science Foundation, NSF Graduate Research Fellowship Program (GRFP) (2017 – 2020)
  • Dean’s Fellowship (Arizona State University) (2021)
  • Winner of IEEE WearRAcon 2020 Innovation Challenge
  • IMPACT Award – ASU (2016)

Dr. Thalman is trained in systems engineering and mechatronic robotics, with an emphasis on wearables, mechanical/material characterization, and engineering design. She has a diverse skillset that expands across fields of textile and wearable technology design, human/robot interaction, biomechanics, and electrical design. At Exponent, Dr. Thalman utilizes her expansive background and hands-on training to focus her work toward assisting clients in failure analysis, testing, and review of the safety and designs of commercial products, electrical vehicles, and battery/energy storage systems.

With a background focused on wearable technologies, Dr. Thalman's skillsets revolve around advancing the design of commercial and industrial products to enhance safety, comfort, and ease of use for the end-user. Dr. Thalman is skilled in mechanical characterization of systems and materials, FEA analysis, data analysis and visualization, CAD design, and system instrumentation. She also has knowledge in PCB design and manufacturing, and the use of motion capture systems to evaluate biomechanical behaviors in people, as well as the movement of dynamic engineering systems.

Dr. Thalman was a National Science Foundation Graduate Research Fellow in the Ira A. Fulton Schools of Engineering at Arizona State University, where she developed a textile-based soft robotic ankle-foot orthosis (AFO) for lower-body rehabilitation purposes, aimed at assisting stroke survivors to achieve a more symmetric gait after suffering hemiparesis after a stroke. Her research was focused on designing pneumatically powered soft actuators, mechanically programmed to achieve and execute specific motions and stiffness profiles to assist users during walking. She designed the soft AFO using textiles, which she optimized and characterized through FEA and evaluated on a variety of users. Her design was awarded first place in the 2020 IEEE WearRAcon Innovation Challenge.