cv

PhD

Cornell University

Physics

B.S.

University of Illinois at Urbana-Champaign

Electrical Engineering and Engineering Physics

Research Assistant

Brookhaven National Laboratory

Space charge simulation for the EIC Strong Hadron Cooler. Optimized the Strong Hadron Cooler lattice and laser shaping using genetic algorithms to improve emittance and energy spread.

Research Assistant

Cornell University

Supervised by Georg Hoffstaetter de Torquat. Studied the cavity coupler effect on beam dynamics for the EIC cooler injector. Implemented cathode space charge particle tracking in Bmad.

Lee Teng internship

Argonne National Laboratory

Modeling and Optimization of a spin-rotator solenoid array for the electron storage ring of the SuperKEKB electron-positron collider. Supervised by Dr. Uli Wienands.

Research Assistant

University of Illinois at Urbana-Champaign

Studied the electron spin polarization in Quantum Point Contact and its effect on the conductance under Dr. Jean-Pierre Leburton.

Office of Science Graduate Student Research (SCGSR) Program

Department of Energy, Office of Science

The SCGSR program provides supplemental funds for U.S. graduate awardees to conduct part of their PhD thesis research at a host DOE laboratory/facility in collaboration with a DOE National Laboratory scientist within a defined award period.

DOE Tigner Traineeship in Accelerator Science

Department of Energy, Office of Science

The program aims to address the workforce needs of DOE accelerator laboratories by increasing the number of Ph.D. graduates in critical areas of accelerator science.

Multi-objective optimization of Strong Hadron Cooler Energy Recovery Linac injector

2025 North American Particle Accelerator Conference

The Strong Hadron Cooler (SHC) proposed for the Electron-Ion Collider (EIC) requires high-current, low-emittance electron bunches with minimal energy spread. The Energy Recovery Linac (ERL) injector plays a critical role in shaping the beam before acceleration. We present a multi-objective optimization study of the SHC ERL injector and merger using space charge tracking in Bmad and parallel genetic algorithm. The optimized configuration reduces the normalized transverse emittance by 62% and energy spread by 85% from the original configuration.

Optimization of Cooling Distribution of the EIC SHC Cooler ERL

15th International Particle Accelerator Conference

The Electron-Ion Collider (EIC) Hadron Storage Ring (HSR) will use strong hadron cooling to maintain the beam brightness and high luminosity during long collision ex?periments. An Energy Recovery Linac is used to deliver the high-current high-brightness electron beam for cooling. For the best cooling effect, the electron beam requires low emittance, small energy spread, and uniform longitudinal distribution. In this work, we simulate and optimize the longitudinal laser-beam distribution shaping at the photo?cathode, modeling space charge forces accurately. Machine parameters such as RF cavity phases are optimized in con?junction with the beam distribution using a genetic optimizer. We demonstrate improvement of the cooling distribution in key parameters..

EIC cooler injector space charge benchmark

14th International Particle Accelerator Conference

In this paper, we present the benchmark results of Bmad space charge tracking on the Electron-Ion Collider cooler injector lattice. Bmad, GPT, and Impact-T are compared in terms of accuracy and performance. We highlight the importance of space charge algorithm and demonstrate that the adaptive step size control improves the performance of Bmad space charge tracking.

Cathode Space Charge in Bmad

13th International Particle Accelerator Conference

We present an implementation of charged particle tracking with the cathode space charge effect included which is now openly available in the Bmad toolkit for charged particle simulations. Adaptive step size control is incorporated to improve the computational efficiency. We demonstrate its capability with a simulation of a DC gun and compare it with the well-established space charge code Impact-T.

Bmad-bot

• Built RAG system for technical documentation search and retrieval
• Integrated with Google Gemini LLM for natural language understanding
• Deployed on Slack and Matrix platforms with real-time query processing
• Implemented feedback collection system for model improvement

SpaceCharge.jl - A GPU-Accelerated Space Charge Package

• Achieved 30x speeup through GPU acceleration and optimization
• Ported Fortran codebase to Julia with modern GPU computing capabilities
• Implemented GPU-accelerated FFT-based space charge solver
• Developed comprehensive benchmarking suite and validation against established codes