Summary
Yu Wang is a data scientist and PhD candidate at KTH Royal Institute of Technology with 11 years of experience spanning control theory, systems biology, robotics, and embedded systems. Currently at Fieldstream after a software engineering stint at Ericsson, Yu blends rigorous mathematical modeling and optimization with practical data-driven solutions for biotechnology and robotic applications. His research produced multiple peer-reviewed publications, conference presentations, and hands-on experimental demos in model predictive control and cooperative robot transportation. Known for rapidly learning new domains and translating theory into applied systems, he has supervised student projects, taught courses, and reviewed for top control journals. Based in Stockholm, he brings a unique mix of academic depth and industry pragmatism to interdisciplinary engineering challenges.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Automatic Control, EECS, Doctor of Philosophy - PhD, Automatic Control, EECS at KTH Royal Institute of Technology
English, Chinese, Swedish