Author Image

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
Sep 16,2026
📅 2026 DOE LDRD Annual Meeting 📍 Jefferson Lab, Newport News, VA
activity
Aug 20,2026
📅 ARCHIDE 2026 Workshop on Architecture Design for HPC and Scientific Edge Computing, 📍 Berkeley, CA
activity
Aug 04,2026
📅 2026 SciDAC PI Meeting 📍 Rockville, MD
activity
Jul 26,2026
📅 DAC 2026 (Design Automation Conference), 📍 Long Beach, CA
activity
Jul 22,2026
📅 Genesis Mission Summit 2026 📍 Washington, DC
activity
Jul 21,2026
📅 2026 ASCR CS PI Meeting 📍 Rockville, MD
publication
Jul 19,2026
"A Roadmap Toward Scaling, Reasoning and Self-Evolving Foundation Models for Nuclear and Particle Physics" published in International Journal of Modern Physics A
publication
Jul 19,2026
"A Multi-Functional Streaming Readout ASIC With Channel-Embedded DSP and Neural Inference" published in IEEE Transactions on Circuits and Systems I: Regular Papers
activity
Jul 06,2026
Presenting AutoSizer Poster in ICML 2026 📍 Seoul, South Korea
activity
May 12,2026
Presenting AmSC Demo B: AI-driven Real-time Nuclear and Particle Physics, ConFab2026, 📍 Rockville, MD

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
Xi Yu Dmitrii Torbunov Soumyajit Mandal Yihui Ren
CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
ICLR 2026 2026 Artificial Intelligence Codesign
Arman Akbari Jian Gao others Yihui Ren Xuan Zhang
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
A Roadmap Toward Scaling, Reasoning and Self-Evolving Foundation Models for Nuclear and Particle Physics
International Journal of Modern Physics A 2026 Artificial Intelligence Physics
Yihui Ren Joseph D. Osborn Elizabeth Brost others Hong Ma
A Multi-Functional Streaming Readout ASIC With Channel-Embedded DSP and Neural Inference
IEEE Transactions on Circuits and Systems I: Regular Papers 2026 Artificial Intelligence Codesign
Soumyajit Mandal Grzegorz W. Deptuch others Yihui Ren others
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

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.
2