I am currently an associate professor at York University. My research interests are in macroeconomics and economic development. My work focuses on understanding the observed cross-country...

Background paper prepared for the AFRCE project Boosting Productivity in Sub …

Research Journal Articles: Health, Health Insurance, and Inequality, (with Zhigang Feng and Jiaying Gu) International Economic Review, February 2025, Vol. 66(1): 107-141. [Paper (Open Access)] [Replication Package] Family Migration and Structural Transformation, (with Huoqing Cao, Xican Xi, and

Chaoran is an assistant professor in the Department of Microbiology and Immunology. Chaoran obtained a BSc in Biological Sciences from Peking University and a PhD in Immunology from Duke University. He completed his postdoctoral training in the joint laboratory of Drs. Diane Mathis and Christophe Benoist at Harvard Medical School.

Dr. Chaoran Li obtained a BSc in Biological Sciences from Peking University and a PhD in Immunology from Duke University, where he investigated the role of microRNAs and epigenetic mechanisms in controlling the differentiation and function of CD4 + T cells.

I am a Multilingual Writing Specialist & Assistant Professor of Writing at Colby College. I seek ways to help students make meaningful connections between their multilingual and translingual knowledge of the world and the various academic discourses that they encounter in their studies.

Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, and Xiaohua Sun. 2021. Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots .

My work falls in the intersection of Human-Computer Interaction, Cybersecurity, Graph Learning, and Usable Privacy, where I use human-centered methods to design, build, and evaluate human-AI collaborative systems to strengthen the trustworthiness and explainability, ranging from mobile ads promotion to privacy paradox.

Hi! I am Chaoran Cheng, a fourth-year CS Ph.D. candidate at the University of Illinois Urbana-Champaign. I am advised by Prof. Ge Liu, before which I was working with Prof. Jian Peng.

My work uses nutritional and molecular epidemiological approaches integrating multiomics (e.g., genomics, transcriptomics, proteomics, and metabolomics) data and artificial intelligence technique. Recently, I expanded my focus to the gut microbiome and its …