Education

Motivation

I pursued my education with a deep curiosity about the intricate workings of the biological systems. It is intriguing for me that a simple set of components can be coordinated in a variety of ways to achieve different functions and represent different phenotypes. From single molecular interactions to statistical behaviors of biological units and to the emergent properties of the whole system, I never find myself tired of exploring the beauty of life sciences.

To prepare myself for this interest, I had my undergraduate study in Integrated Sciences at Peking University, China. The program focuses specifically on the tools for quantifying and modeling biological systems. With a comprehensive training in mathematics, physical chemistry, and molecular biology, I obtained a solid foundation and vision for interdisciplinary research.

Then, I decided to proceed on my quest for knowledge in bioengineering. I led a research project regarding organoid culture and engineering under Prof. Yanyi Huang’s supervision. The practical experiences in the lab further strengthened my interest in the development of novel instruments and technologies. The days and nights spent in front of CAD drawings and cell culture hoods were the most memorable moments in my undergraduate life.

Currently, I am pursuing my master’s degree at EPFL, Switzerland. My main focus at EPFL is on microscopy imaging and its applications. As the classic quote goes, “Seeing is believing”, I anticipate that bioimaging can provide me with new perspectives and capabilities. Here I attempt not only to master image acquisition techniques, but also become proficient in bioimage data analysis. “Precise control and readout” of biosamples is my ultimate goal, and I believe what I am learning now will be a great step towards it.

École polytechnique fédérale de Lausanne (EPFL)

• Academic Performance Score scale: 1.0 (lowest) - 6.0 (highest)
  • GPA: not available yet
  • Minor in Biomedical Technologies
• Selected Courses
  • Bioimaging Techniques
    • Biomicroscopy I (Fall 2022), 5.75
    • Biomicroscopy II (Spring 2023), 5.5
    • Biomedical Optics (Fall 2022), 6.0
  • Biomedical Signal Processing
    • Bioimage Informatics (Spring 2023), 5.75
    • Image Processing I (Fall 2022), 5.75
    • Applied Biomedical Signal Processing (Fall 2022), 5.25
  • Programming and Data Analysis
    • Applied Data Analysis (Fall 2023), 5.75
    • Deep Learning in Biomedicine (Fall 2023), 5.25
  • Other Engineering Tools
    • Mechanobiology: how mechanics regulate life (Fall 2023), 5.5
    • Dynamical System Theory for Engineers (Spring 2023), 5.75
    • Fundamental of Biosensors and Electronic Biochips (Fall 2022), 6.0

Peking University (PKU)

• Academic Performance Score scale: 1.0 (lowest) - 4.0 (highest)
  • GPA: 3.68/4.00
  • Last-2-year GPA: 3.80/4.00
  • Major Ranking: 4/19 (21%)
  • Overall Ranking: 53/293 (18%) in the class of 2022
• Selected Courses
  • Quantitative Biology (i.e., System Biology, Computational Biology)
    • Fundamentals of Network Science and Systems Biology (Fall 2021), A+
    • Flow Science at Micro/Nano Scale and Its Applications (Fall 2021), A+
    • Biological Fluorescence Imaging (Fall 2021), A+, graduate level
    • Lectures on Systems Biology (2021 Spring), A, graduate level
    • Mathematical Modeling in the Life (2021 Spring), A+
  • Programming and Data Analysis
    • The Basics of Bioinformation Technology (2022 Spring), A+, graduate level
    • Statistical Analysis of Genomics Data (2020 Fall), A, graduate level
    • Machine Learning (2020 Fall), A-, graduate level