Young researchers at the University of Hong Kong have achieved outstanding results in the Excellent Young Scientists Fund (Hong Kong and Macau) for 2020.
Seven HKU young scientists have been awarded the prestigious fund under the National Natural Science Foundation of China, an organisation managed by the Ministry of Science and Technology (MOST).
This has been the second consecutive year for HKU to be awarded the highest number of projects among its peer institutions, after the fund was extended to Hong Kong and Macau for applications by eight designated universities since 2019.
The Excellent Young Scientists Fund is granted annually to support young male scientists under age 38 and young female scientists under age 40 who have attained outstanding achievements in research, to further expand in areas of their own choice.
It is highly competitive, with only 25 projects in total funded across Hong Kong and Macau this year. Each project will receive funding of RMB1.2 million over a maximum period of three years, in the form of cross-border remittance to directly support the researchers' work in Hong Kong or Macau.
Seven HKU young scientists:
LKS Faculty of Medicine
Dr Esther Chan Wai Yin
Associate Professor, Department of Pharmacology and Pharmacy
Dr Lydia Cheung Wai Ting
Assistant Professor, School of Biomedical Sciences
Dr Carmen Wong Chak Lui
Assistant Professor, Department of Pathology
Dr Alan Wong Siu Lun
Assistant Professor, School of Biomedical Sciences (joint appointment with Department of Electrical and Electronic Engineering, Faculty of Engineering)
Faculty of Science
Dr Timothy Bonebrake
Associate Professor, School of Biological Sciences
Dr Wang Yufeng
Assistant Professor, Department of Chemistry
Faculty of Social Sciences
Dr Zhang Hongsheng
Assistant Professor, Department of Geography
The award winning projects:
Associate Professor, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine
Project Title: Optimising antipsychotic drug management in patients with mental disorders to improve patient outcomes and reduce healthcare resource utilisation
This project will use Hong Kong wide, real-world, big data to analyse medication usage trends of patients with mental disorders and compare clinical outcomes and resource utilisation (hospitalisations and length of stay, Emergency Department attendances, suicide attempts and mortality) of long-acting injectable antipsychotics (LAIAs) versus oral antipsychotics (OAs) in patients with mental disorders. The clinical outcomes associated with antipsychotic medications will be further explored among specific patient populations including youth, elderly, pregnant women and substance users. The results of this study could identify strategies to improve adherence to antipsychotic medications that may lead to better patient outcomes and reduce healthcare resource utilisation.
Assistant Professor, School of Biomedical Sciences, LKS Faculty of Medicine
Project Title: Precision medicine strategies for ovarian cancer
Dr Cheung is committed to in-depth studies of identifying and characterising novel driver gene mutations in ovarian cancer, especially the associated alterations in signaling pathways and drug responses. The project will address two key scientific challenges that impede the development and effectiveness of precision cancer medicine: one is to reveal novel genome-informed therapeutic approaches and predictive markers; and the other is to derive strategies to overcome cancer drug resistance.
Assistant Professor, Department of Pathology, LKS Faculty of Medicine
Project Title: Liver cancer metabolism and tumor microenvironment
Dr Wong has been dedicated to study the metabolic reprogramming and hypoxic microenvironment of liver cancer, unravelling the relationship between metabolism and tumor immunity. She aims to investigate the roles of immunometabolites in the immune microenvironment and decipher the underlying molecular mechanisms that could be potentially exploited for the development of novel diagnostic and therapeutic strategies.
Assistant Professor, School of Biomedical Sciences, LKS Faculty of Medicine (joint appointment with Department of Electrical and Electronic Engineering, Faculty of Engineering)
Project Title: Synthetic biology and combinatorial genetics technologies
Innovative tools that accelerate direct measurement of the combined effect of genetic perturbations should revolutionise our way to study and engineer the intricate biological systems in a systematic way, and facilitate the development of next-generation therapeutics. The research aims to develop and apply multiplexed genetic technologies to decode complex diseases and devise effective combination-based therapeutic strategies against cancers and neurodegenerative diseases, as well as to engineer new gene editing tools.
Associate Professor, School of Biological Sciences, Faculty of Science
Project Title: Global change and tropical conservation
The study would employ both correlative species distribution models and physiologically informed mechanistic models to butterfly species and develop combination of both approaches for broad estimation and projection for how warming will impact tropical butterfly biodiversity. The research will also incorporate physiological and process-based models with field-based ecological data to advance our understanding of tropical biodiversity. The results will have specific application for managing species in region and will additionally serve as a broad framework for integrating correlative species distribution model approaches with mechanistic and macrophysiological insights.
Assistant Professor, Department of Chemistry, Faculty of Science
Project Title: Colloidal Synthesis and Assembly
The project is a synergistic merger of the field of colloidal assembly and the field of MOF, via hierarchical assembly from molecules to colloids. This route shall significantly improve the optical, mechanical, catalytic and separation properties of MOF and related materials.
Assistant Professor, Department of Geography, Faculty of Social Sciences
Project Title: Remote Sensing of Urban Impervious Surface in Tropical and Subtropical Areas
Urban impervious surface is the most direct changes to land surface by humans in the process of urbanisation. Accurate monitoring and analysis of its temporal and spatial dynamics is of great significance for understanding the relationship between human activities and global changes. This project aims to develop new technologies based on cloud computing to generate and fuse full-coverage optical-radar satellite datasets to monitor the urban impervious surface over the global tropical and subtropical areas.