Education

  • Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Cambridge, MA
    PhD in Electrical Engineering and Computer Science
    Research Advisor: Ila R. Fiete
  • Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Cambridge, MA
    SM in Electrical Engineering and Computer Science
    Dissertation Title: "Factorization and Compositional Generalization in Diffusion Models"
  • Duke University
    Duke University
    Durham, NC
    BS in Physics, Minor in Mathematics
    Dissertation Title: "Robust Control in Trapped-ion Quantum Computers"
    Research Advisor: Kenneth R. Brown

Work Experience

  • Cognizant AI
    Cognizant AI
    San Francisco, CA
    Research Team
    Supervisor: Xin Qiu, Risto Miikkulainen
  • Zapata Computing
    Zapata Computing
    Boston, MA
    Algorithm Team
    Supervisor: Peter D. Johnson
  • IonQ
    IonQ
    College Park, MD
    Theory Team
    Supervisor: Yunseong Nam

Awards & Scholarships

Alan V. Oppenheim Fellowship

MIT EECS Department - Awarded based on merit to cover first-year graduate stipend

PME Graduate Fellowship

UChicago PME Department - Awarded based on merit to cover first-year graduate stipend (declined)

QuICS Lanczos Graduate Fellowship

UMD College Park Physics Department - Awarded based on merit to cover three-year graduate stipend (declined)

Rodney I. McCormick Award

Duke Physics Department - Awarded for outstanding undergraduate research to one graduating senior

Sigma Pi Sigma Physics Honor Society Inductee

Duke Physics Department

Patents

Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing

Mingyu Kang, Qiyao Liang, Ming Li, Yunseong Nam
US Patent Application No.18/202,270, Date of Application: May 25, 2023

Implementation of Batch Optimization for Robust Two-qubit Gates for Quantum Computation

Mingyu Kang, Kenneth Brown, Qiyao Liang, Bichen Zhang
US Patent Application No.63/175,228, Date of Application: April 15, 2021

Skills

Programming Languages and Frameworks

Python (PyTorch, SKLearn, Panda), Java, MATLAB, Mathematica, C, Julia, Assembly (MIPS), R, LaTeX, LabVIEW, Jupyter Notebook, Git

Languages

English (native-level), Mandarin (native-level), Spanish (elementary), Japanese (elementary)