Yingyan (Celine)
Lin

General Information

Email:
celine.lin@gatech.edu
Phone:
404-894-3152
Location - Building:
KACB
Location - Room:
2346
Roles:
Professor (any rank)
Primary Unit:
College of Computing
Website URL
https://eiclab.scs.gatech.edu/pages/team.html

Details

Degrees with subject and Postdoc Experience:
Degree Type
PhD
Subject
Efficient Machine Learning
Year
2017
Institution
University of Illinois at Urbana Champaign
Location
Illinois, US
Statement of Research Interests:

My research focuses on efficient and responsible AI through cross-layer co-design spanning algorithms, systems, and hardware. As foundation models (LLMs, diffusion models, and multimodal models) rapidly grow in compute, memory, and energy demands, I develop techniques that jointly optimize accuracy, latency, throughput, and energy efficiency to enable green AI and ubiquitous AI-powered intelligence.

Statement of Teaching Interests:

I teach and mentor at the intersection of machine learning and hardware processors. My courses focus on full-stack AI design, optimization, and evaluation—from ML algorithms to hardware–software co-design and AI accelerators. I incorporate hands-on projects (e.g., improving model efficiency and prototyping accelerator designs) and structured assignments to build practical skills. My goal is to prepare students to become engineers and researchers who can develop efficient, high-impact AI solutions.

Selection of recent research, scholarly, and creative activities:

PC Co-Chair, MLSys 2025
PC Co-Chair, IEEE Micro Top Picks 2026