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Hi, I am Ray

Yihui (Ray) Ren

Senior Computational Scientist (AI/ML) at Brookhaven National Laboratory

I am a Staff Scientist and Lead of the AI Codesign Group, where I direct multiple research projects aimed at developing innovative AI technologies and advancing the way science is conducted. I began my AI/ML research journey at Brookhaven National Laboratory in 2018. Prior to joining Brookhaven, I was a postdoctoral researcher at the Biocomplexity Institute of Virginia Tech, following the completion of my PhD in Physics at the University of Notre Dame in 2015.

Problem Solving (Advanced)
Leadership
Team Work

News

activity
May 12,2026
📅 Presenting AmSC Demo B: AI-driven Real-time Nuclear and Particle Physics, ConFab2026, 📍 Rockville, MD
publication
May 12,2026
"Conditional diffusion machine-learning framework for mapping valence electron distribution from convergent beam electron diffraction" published in Phys. Rev. Mater.
activity
May 07,2026
Talk: AI for Microelectronics and Analog Circuit Design, 📍 AI+ Expo DOE Booth, Washington DC
publication
May 01,2026
"AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents" has been accepted by ICML 2026! 🎉
activity
Apr 14,2026
Event-based Video Surveillance Camera at the Edge,📍 NSARD 2026, Upton, NY
publication
Apr 01,2026
"Diffusion Model-Based Parameter Estimation in Dynamic Power Systems" published in Communications Engineering
activity
Feb 02,2026
Lightning Talk at Energy Consequences of Information Workshop,📍 Santa Fe, NM
publication
Feb 01,2026
"FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics" has been accepted by ICLR 2026! 🎉
publication
Feb 01,2026
"CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process" has been accepted by ICLR 2026! 🎉
activity
Jan 30,2026
DOE-MEXT Winter Meeting 2026, 📍 RIKEN IIB, Kobe, Japan

Publications

Variable Rate Neural Compression for Sparse Detector Data
Cell Patterns 2026 Artificial Intelligence Codesign
Yi Huang Yeonju Go Jin Huang others Yihui Ren others
Diffusion Model-Based Parameter Estimation in Dynamic Power Systems
Communications Engineering 2026 Artificial Intelligence
Feiqin Zhu Dmitrii Torbunov Zhongjing Jiang Tianqiao Zhao Amirthagunaraj Yogarathnam Yihui Ren Meng Yue
Conditional diffusion machine-learning framework for mapping valence electron distribution from convergent beam electron diffraction
Physical Review Materials 2026 Artificial Intelligence Physics
Lijun Wu Dmitrii Torbunov Yihui Ren Yimei Zhu
AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
ICML 2026 2026 Artificial Intelligence Codesign
others Yihui Ren
CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
ICLR 2026 2026 Artificial Intelligence Codesign
others Yihui Ren
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
ICLR 2026 2026 Artificial Intelligence Physics
David Park Shuhang Li Yi Huang Xihaier Luo others Yihui Ren
EvRT-DETR: The surprising effectiveness of DETR-based detection for event cameras
ICCV 2025 2025 Artificial Intelligence
Dmitrii Torbunov Yihui Ren Animesh Ghose Odera Dim Yonggang Cui
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing
Future Generation Computer Systems 2025 Artificial Intelligence High Performance Computing
Shengyu Feng Jaehyung Kim Yiming Yang others Yihui Ren others
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting
arXiv:2503.21588 2025 Artificial Intelligence Physics
Guang Zhao Xihaier Luo Seungjun Lee Yihui Ren Shinjae Yoo others
Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses
Machine Learning: Science and Technology 2024 Artificial Intelligence Physics
Yi Huang Dmitrii Torbunov Brett Viren Haiwang Yu others Yihui Ren

Education

Hunan University
2005-2009
B.Sc. in Physics
University of Notre Dame
2010-2015
Ph.D in Physics
Publications:

Experiences

1
Brookhaven National Laboratory

May 2018 - present

Upton, NY

Brookhaven National Laboratory (BNL) is a United States Department of Energy national laboratory located in Upton, New York, established in 1947. I joined the Machine Learning Group (MLG) in 2018. The group has been designated as the AI Department in 2025.

Senior Computational Scientist (AI/ML) RS6

Jan 2026 - present

Responsibilities:
  • AI Codesign Group Lead
  • Lead several research projects such as event-based camera and Agentic AI for circuit design
Computational Scientist (AI/ML) RS5

Jan 2024 - Dec 2025

Responsibilities:
  • AI Codesign Group Lead
  • Lead several research projects such as building a scalable foundation model for nuclear and particle physics
Associate Computational Scientist (AI/ML) RS4

Oct 2021 - Jan 2024

Responsibilities:
  • Deputy Machine Learning Group Lead
  • AI tech lead in multiple projects including unpaired and unsupervised domain mapping techniques to bridge the gap between scientific simulation and experimental data
Assistant Computational Scientist (AI/ML) RS3

Aug 2019 - Nov 2021

Responsibilities:
  • Developed graph neural network-based molecule fingerprinting methods for combating COVID-19.
  • Developed efficient neural compression methods for sparse nuclear physics detector data.
Postdoctorate Research Associate (AI/ML)

May 2018 - July 2019

Responsibilities:
  • Developed deep learning object detection method for nuclear non-proliferation.
  • Benchmared AI workloads on cutting-edge AI hardware including NVIDIA DGX2.
Virginia Tech

Apr 2015 - Apr 2018

Blacksburg, VA

Biocomplexity Institute at Virginia Tech was a multidisiplinary research institute specialized in agent-based modeling, theoretical modeling and high-performance computing.

Postdoctoral Research Associate

Apr 2015 - Apr 2018

Responsibilities:
  • Connected Moore-Shannon Network Reliability with Ising Model in condensed matter physics.
  • Developed probablisitic agent-based modeling for human behaviro and epidemics.
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