Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science and the Co-Director of the newly established Center for Advancing Responsible Computing (CARE) at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab at Georgia Tech, which focuses on developing efficient machine learning solutions through cross-layer innovations—from efficient AI algorithms and AI hardware accelerators to AI acceleration chips—with the goal of promoting green AI and enabling ubiquitous AI-powered intelligence. She earned her Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2017 and was an Assistant Professor at Rice University from 2017 to 2022. 

Celine has been recognized with multiple awards, including the Facebook Research Award, NSF CAREER Award, IBM Faculty Award, Meta Faculty Research Award (twice), ACM SIGDA Outstanding Young Faculty Award, and SRC Young Faculty Award. At Georgia Tech, she received the James D. Lester III Endowment Award in 2024 and the CoC Outstanding Mid-Career Faculty Research Award in 2025. During her Ph.D., she was recognized as a Rising Star in EECS at Stanford University's 2017 Academic Career Workshop for Women, received the Best Student Paper Award at IEEE SiPS 2016, and was awarded the Robert T. Chien Memorial Award for Excellence in Research at UIUC. Her group's research has earned various recognition, including first place at the ACM SIGDA University Demonstration at DAC 2022, first place at the ACM/IEEE TinyML Design Contest at ICCAD 2022, and selection as an IEEE Micro Top Pick of 2023 for "the most significant research papers in computer architecture based on novelty and potential for long-term impact." Additionally, their work has been spotlighted at ICLR (2020, 2021, and 2025), presented as an oral paper at ECCV 2024, and most recently received the Best Paper Award at MICRO 2024.