Yi Ren
Associate Professor
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolYi Ren is an Associate Professor at Arizona State University with 11 years of experience at the intersection of human-computer interaction, machine learning, and engineering design. His research develops human computation, design crowdsourcing, and adaptive preference modeling to make product and mechanical design processes more collaborative and data-driven. Trained as a mechanical engineer (PhD, University of Michigan) with a background in optimization and materials design, he applies ML and optimization techniques to structured design representations and crowd-augmented workflows. He has led research on active preference elicitation and EV powertrain architecture, blending theoretical algorithms with practical design tools. Based in Tempe, he bridges academia and applied engineering, often focusing on how human and algorithmic intelligence can co-design better products.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy, Mechanical Engineering, Doctor of Philosophy, Mechanical Engineering at University of MichiganBachelor of Science, Automotive Engineering, Bachelor of Science, Automotive Engineering at Tsinghua UniversityXiangming high school
Github Skills (3)
machine-learning6
meter2
reader1
Programming languages (3)
Github contributions (5)
DesignInformaticsLab/DesignInformaticsLab.github.io
May 2016 - Jan 2023
ASU Design Informatics Lab
Contributions:489 commits, 515 pushes, 1 branch in 6 years 9 months
DesignInformaticsLab/DesignOptimization2021Fall
Aug 2021 - Nov 2021
Course repo for MAE598/494 2021 Fall
Contributions:35 commits, 31 pushes, 1 branch in 3 months
fallmachine-learning
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