Shenyi Wang

Shenyi Wang has a diverse work experience spanning different roles and industries. Shenyi started their career in 2018 as a Research Assistant at Huazhong University of Science and Technology. In this role, they conducted research in an academic setting.

In 2020, Shenyi joined 中科空间(长沙)信息科技研究院有限公司 as an R&D Software Engineer. Here, they were part of a team developing an EDA front-end for defect detection in HDL designs. Shenyi'sresponsibilities included establishing and tracing projections between the Abstract Syntax Tree (AST) and Netlist.

Currently, Shenyi works at Rivos Inc. as a Design Verification Engineer. Shenyi'srole involves ensuring the accuracy and functionality of designs through verification processes. Shenyi'swork in this position is ongoing.

Shenyi Wang began their education at Nankai High School from 2013 to 2016, where they were a Senior High School student focused on preparing for the College Entrance Examination. Shenyi then attended Hunan University from 2016 to 2020, where they earned a Bachelor's degree in Computer Science.

In terms of additional certifications, Shenyi Wang completed several online courses from Coursera. In August 2017, they obtained a certification in Neural Networks and Deep Learning. In March 2020, they obtained certifications in Fundamentals of Reinforcement Learning and Sample-based Learning Methods. In April 2020, they obtained certifications in A Complete Reinforcement Learning System (Capstone), Prediction and Control with Function Approximation, and the Reinforcement Learning Specialization.

Currently, Shenyi Wang is pursuing a Master of Science in Electrical and Computer Engineering at the University of Michigan, which they started in 2021 and is expected to complete in 2023.