About Me

Introduction

I am Yan Pan (潘彦), an undergraduate student majoring in Clinical Medicine at the University of Electronic Science and Technology of China (UESTC). Since 2022, I have been involved in research at the university’s Center for Aging Research , where I combine experimental and computational methods to study the biology of aging.

I’m currently building this website! I will be applying for MS/PhD programs for Fall 2027. If you’re interested in my work, feel free to contact me at yanpan@zohomail.com.

Research Focus

My primary research interest lies in aging medicine, particularly in identifying compounds that influence healthspan and lifespan in model systems. I am interested in applying computational biology approaches to explore which natural or synthetic compounds may be beneficial or harmful to biological systems. While I have worked extensively with Caenorhabditis elegans, I view it as one of several useful model organisms—including cultured cells and other systems—for understanding the biological effects of candidate compounds. Beyond phenotypic screening, I am also interested in uncovering the underlying molecular mechanisms that mediate these effects.

Skills

My research balances work in both the wet and dry lab:

• Wet lab (50%): Includes culturing C. elegans and mammalian cells, performing cellular and molecular biology experiments, and developing high-throughput pipelines for compound screening.
• Dry lab (50%): Focuses on machine learning modeling, multi-omics data analysis, molecular dynamics simulations, and virtual screening of bioactive molecules.

Broader Research Experience

Throughout my undergraduate studies, I have conducted research internships at several prestigious institutions, including:

• Beijing Center for Disease Control and Prevention
• Peking Union Medical College (Chinese Academy of Medical Sciences)
• West China School of Medicine, Sichuan University

These experiences allowed me to explore diverse topics, such as:

• Large-scale virtual screening of allosteric modulators targeting GPCRs
• Environmental toxicology
• Computer vision applications in biological image analysis

I value the integration of computational analysis and experimental validation in biological research. My long-term academic goal is to uncover the fundamental mechanisms driving human aging and to identify effective interventions for its delay. I believe that computational biology provides a powerful lens to guide experimental design and hypothesis generation, making it a cornerstone of my research methodology.

Looking Ahead

I am currently seeking Ph.D. opportunities related to aging biology/cell biology/computational biology. I hope to contribute to a better understanding of the mechanisms underlying aging and to the development of effective interventions that promote long-term health.