Academic Profile

Assistant Professor Ivy Hui-Yuan Yeh joins Nanyang Technological University (NTU) from the University of Cambridge, where she was working on her PhD in the Division of Biological Anthropology. She is also a coordinator of the Medical Humanities Research Cluster at NTU (, NTU iGave Ambassador of SoH, member of the International Advisory Committee (IAC) of the Chinese Heritage Centre (CHC), Nanyang Technological University (NTU) from 1 April 2019 to 31 May 2022, and APPA Preparation Committee (Conference on Pan-Pacific Anthropocene (ConPPA)) (

Her research expertise lies in biological anthropology, coming from an interdisciplinary background. Ivy’s PhD in Biological Anthropology focused on migration, health and diet in populations past and present. Ivy mentored and supervised students for both lab work and essays at the University of Cambridge for two years.

I. Bioanthropology and Bioarchaeology Projects:
She is especially interested in the analysis of the health, disease, diet and nutrition of human communities, as well as population interactions. In particular, the spread of disease on a global scale from an evolutionary perspective. Her research projects explore how pathogen transference patterns via population interactions and migrations throughout human history to understand how human health has been impacted by diseases. Pathogens co-evolve with humans and have been transmitted among different regional populations to impact various societies’ health. Investigating pathogens throughout history and geographic areas sheds light on how humankind has been shaped by them and what may happen in the future. Ivy is also leading a research team in the northwestern region of China where a partial section of the Silk Road was located. She has a team working on the region, in particular the Mogou site, to better understand the interactions between early populations, their cultural exchange and how this might influence the formation of the early state of China.

2. Healthcare Projects:
2.1. Machine Learning for Diabetes Management:
Diabetes refers to a group of metabolic diseases described by hyperglycemia resulting from irregularities in insulin function. The chronic hyperglycemia of diabetes is related to long-term damage, dysfunction, and failure of multiple organs. Diabetes affects more than 200 million people, and it will continue to increase in the future. To prevent, cure and ameliorate conditions of diabetics, creating a precise model to predict diabetes is essential. Given the development of big data sets, studies have been conducted to apply AI/data mining in diabetes prediction. However, in these approaches, researchers attempted to improve prediction by using datasets or advanced algorithms predicated upon a high niche group of people or clinician information without lifestyle information. Lifestyle information plays important roles in the prediction of diabetes. Therefore, in our research, we wish to incorporate lifestyle information in our dataset. We aim to build a powerful model with complete information for diabetes prediction.
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Asst Prof Yeh Hui-Yuan
Nanyang Assistant Professor, School of Humanities

Biological Anthropology
Archaeological Science
Human migrations
Population genetics
Disease prediction
Disease evolution
Health and society

Full Publications:
  • Detecting Diseases In The Past: How Parasites Could Help Us Fight Modern Allergies

  • Tracing Early Trading in Singapore Using Geochemical Fingerprints and Artificial Intelligence on Archaeological Artefacts
  • Qi Feng Lin, Nadiah Haris Hor Suk Yi, Piers Mitchell, and Hui-Yuan Yeh. (2019). Oriental schistosomiasis in China: the eradication campaign during the 1940s and 1950s and rethinking its role in the Chinese Civil War. European Journal of East Asian Studies, .

  • Hui-Yuan YEH, Xiaoya ZHAN, Wuyun QI. (2019). A comparison of ancient parasites as seen from archeological contexts and early medical texts in China. International Journal of Paleopathology, 25, 30-38.

  • Nguyen Quoc Khanh Le, E. Yapp, Quang-Thai Ho, Nagarajan Nagasundaram, Yu-Yen Ou, and Hui-Yuan Yeh. (2019). iEnhancer-5Step: identifying enhancers using hidden information of DNA sequences via Chou’s 5-step-rule and word embedding. Analytical Biochemistry, 571, 53-61.

  • Jenna M DITTMAR, ZHAN Xiaoya, Elizabeth BERGER, MAO Ruilin, WANG Hui, ZHAO Yongsheng, YEH Hui-Yuan. (2019). Ritualistic cranial surgery in the Qijia Culture (2300-1500 BCE), Gansu, China. Acta Anthropologica Sinica (人类学学报), , (accepted).

  • N.Nagasundaram, E. Yapp, Nguyen Quoc Khanh Le, Hui-Yuan Yeh. (2019). In silico screening of sugar alcohol compounds to inhibit viral matrix protein VP40 of Ebola virus. Molecular Biology Reports, .