Meifeng Lin

Dr. Meifeng Lin is the current Department Chair of the Computational Science Department within the Computing and Data Sciences Directorate at Brookhaven National Laboratory. Her career spans over 15 years in computational physics and high performance computing, with prior appointments at institutions including Massachusetts Institute of Technology, Yale University, Boston University, and Argonne National Laboratory. Her expertise lies in lattice QCD, quantum computing, machine learning, and high energy physics.

• PhD in Theoretical Particle Physics, Columbia University
• M.Phil./M.A. in Physics, Columbia University
• B.S. in Physics, Peking University, Beijing, China

Meifeng Lin's research focuses on computational physics, particularly lattice QCD for nuclear and high energy physics. She integrates high performance computing (HPC) with emerging technologies like quantum computing and machine learning to address complex computational bottlenecks in scientific discovery. Her work emphasizes performance portability, GPU acceleration, and quantum-classical hybrid systems.

Her publications reflect interdisciplinary innovation in HPC, machine learning applications in detector design, and quantum computing advancements. Trends include a strong emphasis on algorithm optimization for exascale systems, AI-driven experimental modeling, and GPU-accelerated simulations in particle physics and fluid dynamics.

• Spotlight Award, Brookhaven National Laboratory (2016, 2017, 2018)
• Faculty Fellowship, Columbia University (2001-2003)

Lin has led major research initiatives such as the Center for Computational Excellence (DOE HEP) as Task Lead and principal investigator for projects like "Overcoming Computational Bottlenecks with HPC and ML" (BNL LDRD). She has also contributed to quantum gate optimization, detector design for the Electron-Ion Collider, and multi-GPU ptychography reconstruction.

At Brookhaven, Lin leads the Computational Science Department and previously headed the High Performance Computing group (2019-2024). She has been instrumental in quantum computing research as Acting Group Leader (2018-2019) and in advancing HPC through collaborations like the DOE ASCR Exascale project and the SBU-BNL Seed Grant.