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Lincoln Wang has two years of work experience. From 2014 to 2016, they were a Research Assistant for Control Systems at Auburn University, where they researched on adaptive control systems and nonlinear dynamics. Lincoln's responsibilities included the implementation of a discrete PID controller for an active magnetic bearings (AMB) system and the design of an adaptive control algorithm based on MRAS (Model Reference Adaptive System) to improve the performance of unbalanced AMB during fast acceleration. From 2016 to present, they have been the Chief Technology Officer at Tennibot, where their job responsibilities include hardware and software design and implementation. Lincoln is experienced with object detection using various Machine Learning/Deep Learning models on embedded devices and probabilistic approaches for robot localization and mapping.

Lincoln Wang obtained a Bachelor's Degree in Automobile Engineering from Jilin University in 2014. Lincoln then went on to obtain a Master's Degree in Mechanical Engineering and Control Systems from Auburn University in 2016.