Prof. TAN Giin Yu Amy (陳錦渝)

Amy is deeply passionate and curious about microbes and their behavior. She works at the intersection of biology, pan-omics, smart technology, and engineering to harness the power of microbes in addressing global challenges such as carbon reduction, waste pollution, energy scarcity, human health and safety, and built environment renewal. Amy also engages in cross-disciplinary and translational research to develop holistic waste-to-resource management and waste facility digitalization solutions for industrial applications.

Amy holds a PhD in Civil and Environmental Engineering (2015) and a Bachelor’s degree in Biological Sciences (2009) from Nanyang Technological University (NTU), Singapore. She joined CityU in 2022 after holding academic and research positions at The University of Hong Kong (Research Assistant Professor, 2019-2022), The Hong Kong Polytechnic University (Research Fellow, 2018-2019; Post-doctoral Fellow, 2015-2017), and Nanyang Technological University (Research Assistant, 2009-2015).

CA2169 Environmental Engineering
CA6247 Water Resources Assessment and Management
CA5325 Next-generation Smart Cities

Our research group specializes in both scientific and applied research. We are currently developing a state-of-the-art classical-quantum hybrid approach, incorporating quantum information theory, knowledge graphs, and large language models (LLM), to resolve complex pan-omics networks in microbes. Additionally, we are advancing green and smart technologies for anaerobic/micro-aerobic waste treatment and bioenergy harvesting, plastic-to-bioplastic upcycling, toxic gas suppression, and digital twin monitoring. Our select research areas include:

1. Gene regulation mechanisms governing microbial metabolic shifts
2. The role of biomolecular Maxwell’s demon in overcoming rate-limiting microbial metabolisms
3. Electron/oxidative radical-enhanced nutrient cycling and bioenergy production under electrically-conductive and aerobic microenvironments
4. Digital twin platforms for toxic gas monitoring in enclosed spaces

Keywords: Environmental microbiology, bioprocesses, waste management, pan-omics, digital twin, quantum model, semantic model, large language model (LLM)

Position(s) Available

We invite interested candidates to contact us regarding the availability of PhD, research, internship and research exchange opportunities. We welcome candidates of diverse and relevant backgrounds to get in touch (e.g., environmental and civil engineering, biology, bioinformatics, chemistry, biophysics, data science, quantum information science, etc). Please send your CV to [email protected]