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This is Yaqian Chen's resume.

Basics

Name Yaqian Chen
Label Ph.D. Student in Electrical and Computer Engineering
Email yaqian.chen@duke.edu
Phone +1 (443) 854-8119
Url https://YaqianChen.github.io
Summary Ph.D. student at Duke University focusing on deep learning for medical image analysis, including medical image segmentation and registration, foundation models, and clinically relevant AI methodologies.

Work

  • 2023.09 - Present
    Ph.D. Researcher
    Duke University - Mazurowski Lab, Duke AI Health Spark Initiative
    Researching medical image segmentation and registration, foundation models, self-supervised learning, and clinical AI applications.
    • Developed registration networks for breast MRI FGT registration, outperforming existing models by over 13.01%.
    • Established benchmarks for foundation model-based registration (MICCAI workshop best paper award).
    • Developed automatic CT abdominal muscle and fat segmentation for body composition analysis.
    • Extended breast segmentation methods for breast density estimation on breast MRI.
    • Conducted rapid, large-scale evaluation of SAM2 across 21 diverse medical imaging datasets.
  • 2021.05 - 2021.07
    Machine Learning Course Lecturer
    UBTECH
    Prepared and delivered 14 lectures on ML algorithms and robotics applications.
    • Teaching evaluation score: 5.00/5.00.
    • Lecture evaluation score: 4.96/5.00.
  • 2017.09 - 2021.05
    Research Assistant
    The Chinese University of Hong Kong, Shenzhen - AIRS
    Worked on simultaneous localization and mapping (SLAM) and robotics applications.
    • Proposed monocular semantic SLAM system for outdoor UAV applications.
    • Published in IEEE RCAR.

Education

  • 2023.09 - Present

    Durham, NC, USA

    Ph.D.
    Duke University
    Electrical and Computer Engineering
  • 2021.09 - 2023.05

    Baltimore, MD, USA

    Master of Science
    Johns Hopkins University
    Computer Science
  • 2017.09 - 2021.05

    Shenzhen, China

    Bachelor of Engineering
    The Chinese University of Hong Kong, Shenzhen
    Computer Science and Engineering

Awards

Skills

Deep Learning
PyTorch
MONAI
Diffusion Models
Transformers
SAM
Medical Imaging
Segmentation
Registration
Body Composition
Risk Prediction
Programming
Python
C++
C
Bash
Docker
Git

Languages

English
Fluent
Mandarin Chinese
Native speaker