Research

The development of Machine-learning (ML) requires the support of many kinds of data, and Microfluidic (MF) systems can do high-throughput screening and create a lot of data and mine object data on a large scale to support AI/ML. Due to the excellent synergy between the two technologies, we have excellent research results in many fields. We combine ML and MF and develop advanced applications of their combination, especially in Medicine and Material science. We apply ML for large-scale drug discovery and repurposing. We use MF to create organ/lab-on-chip and micro-environment mimetic studies for materials and medicine applications. We are leading the development trend of the combination of the two technologies for a better world.  

Research Interests

Machine-learning/Microfluidics-mediated Materials/Medicine/Mimetics (M5) 

Current Research

AI-powered large-scale drug discovery, delivery, and repurposing.

• Machine-learning
• Microfluidics
• Materials
• Medicine
• Mimetics
• Microenvironment
• Microorganism
• Micropatterns
• Manufacturing
• Monitoring

Some key areas:

• Drug delivery
• Drug discovery  
• Durg repurposing
• Living materials
• Microalgae
• Nature materials
• Nature-derived/inspired materials
• Nanobiotechnology
• Organ-on-chip
• M-porous materials
• Self-assembly
• Sustainability
• Tea
• 2D/C materials

• Quantum materials

   

• Welcome to the Magic M world

• Here we explore the Magic of the Nature with "Machine-learning Microfluidic-mediated Materials & Medicine & Mimetics (M5)" for a better sustainable and healthier world. 
• Inspired by the M theory, Maths, Daoism, and Zen, we view the world as a magic universe. We aim to contribute to the magic with our Magic M of "Machine-learning Microfluidic-mediated Materials & Medicine & Mimetics (M5)" and Much More for a better sustainable and healthier world. The magic world provides us with extensive (Nature/Bio/2D/C/M-porous/Quantum/living microorganism) Materials of diverse compositions, structures, properties and can be manufactured for advanced sustainable applications including Medicine. Microfluidics (organ/lab-on-chip) models can well mimic the microenvironment for cells/tissues/organs/materials for bio/medical/materials high throughput screening, seperation, sensing. Microfluidics can also produce massive amount of data for Machine-learning for advanced Materials & Medicine & Mimetics applications and verify their effectiveness. Microfluidics/Machine-learning can revolutionalize Materials & Medicine & Mimetics research and development especially large scale drug discovery, delivery, and repurposing, for a better sustainable and healthier world.
• We are interested in studying Nature-derived/inspired/living/Mimetic Materials and Micropatterns (Nature Reviews Methods Primers (Invited Feature Cover Paper) 3 (1), 68 (2023)) for sustainability and Medical applications, including Thermal-Immuno Nanomedicine in Cancer (Nature Reviews Clinical Oncology（Feature Cover Paper, Top 0.1% highly cited paper) 20 (2), 116-134 (2023)). Materials science also provides tools and technologies for biosensing and protection against infections, as well as for the understanding, diagnosis, treatment and prevention of diseases (Science Advances (Feature Cover Paper) 10 (11), eadl3466 (2024), Nature Reviews Materials (Feature Cover Paper) 5, 847–860 (2020),Nature Nanotechnology (Feature Cover Paper) 17, 292–300 (2022), Nature Medicine (Feature Paper, Top 0.1% Highly Cited Paper) 28 (11), 2273-2287 (2022),Nature Nanotechnology (Highly Cited Paper) 17 (10), 1027-1037, Nature Nanotechnology (2024), Nature communications Top 0.1% Highly Cited Paper 12, 1124 (2021), Nature Communications (Highly Cited Paper) 14 (1), 1341(2023),etc.). 
• Especially, tea, algae, mRNA, and Nature-derived 2D Materials/Medicine are among our most studied Nature-derived/inspired/living/Mimetic Materials/Medicine/Micropatterns (Dr. Zhang was invited to advising the publications of Nature Outlook Tea, besides Nature Reviews Methods Primers (Invited Feature Cover Paper) 3 (1), 68 (2023), Nature Communications (Highly Cited Paper) 13, 1413 (2022), Science Advances (Feature Cover Paper) 7.48: eabi9265(2021), Nature Medicine (Feature Paper, Top 0.1% Highly Cited Paper) 28 (11), 2273-2287 (2022),Nature Nanotechnology (Highly Cited Paper) 17 (10), 1027-1037, Nature communications Top 0.1% Highly Cited Paper 12, 1124 (2021), Nature Communications 15, 1295 (2024), Nature Nanotechnology (2024) etc.) For tea studies, our work in nanotea, tea exosome, tea-derived sustainable materials, and metal polyphenol nanonetworks are our hallmarks, recognized by Nature etc. We are also applying machine learning to study the mechanism of actions of tea polyphenols and their applications in medicine (Nature Computational Science 2024). For algae studies, our work in sustainable algae production, microfluidic and micropatterned high-throughput screening, decarbonization, algae based drug delivery systems, drugs, biosensors, and bioreactors have received world-wide reputations. For 2D materials, especially Nature-derived 2D Materials/Medicine have become top 0.1% most highly cited innovative and leading works in multiple sustainable application fields, including energy, electronics, photocatalysis, and biomedical engineering, especially cancer theranostics.