Hi there! This is Keling's website.

Introduction Link to heading

I am Keling from the West of China, born in Szechwan and lived in Amoy for years. I hold an M.Sc. in Health Sciences degree specialized in epidemiology at Erasmus MC, with a bachelor’s background in nursing sciences and trained as a nurse practitioner.

Training and skills Link to heading

In 2023, I received my bachelor’s degree in nursing science from Xiamen University, and since then I have been a registered nurse in China. I was also trained in molecular medicine lab skills and organic synthesis in chemistry during my bachelor’s studies. During the preparation of my bachelor’s thesis on diabetes mellitus and the internship as a student research assistant, I found epidemiological research quite interesting. After that, I took some online courses about biostatistics and data science, and I decided to go for a master’s program in epidemiology to further develop my research interests and learn research skills in epidemiology and biostatistics. I was strongly attracted by the art of causal inference after reading “Causal Inference: What If”, and devoted myself into causal methods and applications. As a member of several LGBTQIA+-friendly online communities, I have also conducted a small qualitative study about transgender health, and this helped me gain much experience on this interdisciplinary topic.

Research interests Link to heading

I have broad research interests across several research topics. I mainly focus on causal inference methods, particularly g-methods, transportability, bias analysis techniques, and causal effect heterogeneity estimation with various data sources. I am particularly interested in the causal assumptions in these methods, their robustness, and ways to falsify/verify them. Partial identification or bounding of an estimand in the presence of assumption violations are also something that attracts me.

I am also interested in epidemiological methods and causal inference teaching/education, trying to think about my role as a “translational methodologist” in the middle of a “causal ladder”, and trying to help people from applied side to do better (or at least less harmful) inference. For applied causal inference and epidemiology, I am mainly interested in the field of diabetes, endocrinology, and transgender healthcare. I am also happy to conduct interdisciplinary projects that brings causal inference methods, epidemiology, and transgender health together.

Beyond the quantitative world, I also do qualitative studies such as interviews and ethnographies, trying to incorporate and localize contemporary gender theories in understanding the situation and experience of LGBTQIA+-communities, especially transgender and gender diverse population.

Other Link to heading

I am a dog person and love Beagles a lot. I have many random Beagle photos on my phone and I have many stickers for Beagles. I also love coffee and put “buying coffee beans at a local roaster” as the first thing on my to-do list when visiting a new city. My favorite philosophers (if they count) are Judith Butler and Michel Foucault, but it takes me too much energy to read their works.