Fangyu Wu is a Postdoctoral Associate at Cornell University, beginning in July 2024, following a role as a Research Assistant at the University of California, Berkeley from May 2018 to July 2024. Previous experience includes an Optimization Intern position at NVIDIA during the summer of 2023, as well as Research Assistant positions at the Coordinated Science Laboratory at the University of Illinois from January 2016 to May 2018. Fangyu Wu also held a Machine Learning Intern role at Intel Corporation from January to April 2018. Educational qualifications include a PhD in Electrical Engineering and Computer Sciences from the University of California, Berkeley (2019-2022), an MEng in Electrical Engineering and Computer Sciences from the same institution (2018-2019), an MS in Civil Engineering from the University of Illinois Urbana-Champaign (2016-2018), and a BS in Civil Engineering from the University of Illinois Urbana-Champaign (2012-2015).