Yang Zhang | Bioengineering | Best Researcher Award

Assist. Prof. Dr. Yang Zhang | Bioengineering | Best Researcher Award

Xiamen University | China

Dr. Yang Zhang is an Assistant Professor at the State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University. He earned a B.E. in Biological Engineering, an M.E. and Ph.D. in Power Engineering and Engineering Thermophysics under Prof. Liejin Guo at Xi’an Jiaotong University, and conducted part of his Ph.D. research in microbiology jointly supervised by Prof. Fevzi Daldal at University of Pennsylvania. His research expertise lies at the intersection of synthetic biology, metabolic engineering, biocatalysis and photosynthetic bacteria, including pathway reconstruction, cascade biotransformation, synthetic genetic circuits, enzyme evolution, elucidation of natural product biosyntheses, and utilization of C1/C2 feedstocks and agricultural wastes for fine chemicals, pharmaceuticals, flavors, fragrances and biofuels. He leads several funded projects spanning lignin full-process technology, formate utilization in Rhodobacter species, AI-assisted component optimization and adaptation, valencene and astaxanthin overproduction in photosynthetic bacteria. His publication record includes papers in ACS Synthetic Biology, Chemical Engineering Journal, Nature Communications, Microbial Biotechnology, etc. His h-index is approximately 16, with over25  documents and ~435 citations (based on recent metrics). He has been recognized with provincial and municipal high‐talent awards in Fujian and Xiamen. Dr. Zhang is committed to advancing sustainable microbial cell factories and green production platforms, and aims to combine innovation in synthetic biology with real-world feedstocks to address environmental and industrial challenges.

Profiles : Scopus | Orcid 

Featured Publications

Li, Z., Li, W., Gao, X., Yao, W., Zhu, Z., Luo, X., Zhang, Y., & Yuan, J. (2025). “Systematic engineering to enhance valencene production in Rhodobacter sphaeroides.” Bioresources and Bioprocessing.

Zhang, Y., Wang, X., Yuan, J., & Guo, L. (2024). “Multidimensional engineering of Rhodobacter sphaeroides for enhanced photo-fermentative hydrogen production.” Chemical Engineering Journal.

Zhang, Y., Cheng, C., Fu, B., Long, T., He, N., Fan, J., Xue, Z., Chen, A., & Yuan, J. (2024). “Microbial upcycling of depolymerized lignin into value-added chemicals.” BioDesign Research.

Fan, J., Zhang, Y., Li, W., Li, Z., Zhang, D., Mo, Q., Cao, M., & Yuan, J. (2024). “Multidimensional optimization of Saccharomyces cerevisiae for carotenoid overproduction.” BioDesign Research.

Yuan, J., Cheng, J., Fan, C., Wu, P., Zhang, Y., Cao, M., & Shi, T. (2023). “Development of shuttle vectors for rapid prototyping of engineered Synechococcus sp. PCC7002 (vol 106, pg 8169, 2022).” Applied Microbiology and Biotechnology.

Zhang, Y., Meng, W., He, Y., Chen, Y., Shao, M., & Yuan, J. (2023). “Multidimensional optimization for accelerating light-powered biocatalysis in Rhodopseudomonas palustris.” Biotechnology for Biofuels and Bioproducts.

Weiren Huang | Genomic Data Analytics | Best Researcher Award

Dr. Weiren Huang | Genomic Data Analytics | Best Researcher Award

Dr. Weiren Huang | Genomic Data Analytics – The First Affiliated Hospital of Shenzhen University, Department of Urology, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital | China

Dr. Weiren Huang is a pioneering researcher and principal investigator at The First Affiliated Hospital of Shenzhen University, working within the Department of Urology and the Shenzhen Institute of Translational Medicine. Recognized for his significant contributions to synthetic biology and its therapeutic applications in oncology, Dr. Huang has emerged as a national figure in precision gene circuit design and tumor-targeted interventions. As Deputy Director of the Synthetic Biology Committee under the China Medicinal Biotechnology Association and a committee member of several national scientific panels, he continues to drive innovation at the intersection of engineering biology and translational medicine. His work is transforming bladder cancer treatment through personalized, programmable therapeutics that hold promise for clinical implementation.

Professional Profile

ORCID

Education

Dr. Huang earned his Ph.D. in a highly competitive program from Sun Yat-sen University, one of China’s premier research institutions. This rigorous academic foundation enabled him to integrate core knowledge in molecular biology, biomedical engineering, and translational medicine. His doctoral research set the stage for a career focused on genetic control systems and their application in oncology, especially through synthetic biology platforms. His educational background laid a solid groundwork for interdisciplinary research, bringing together urology, gene therapy, and bioengineering in a seamless and impactful way.

Experience

With extensive experience as Principal Investigator in national and regional research programs, Dr. Huang has led critical projects supported by the Ministry of Science and Technology of China, Shenzhen Science and Technology Innovation Commission, and Shenzhen Medical Research Fund. These initiatives address emerging clinical needs using genetic circuitry, tumor organoid modeling, and synthetic therapeutics. His notable leadership includes the National Key R&D Program project focused on microenvironment remodeling via gene circuits, where he directed a team on an ¥18.53 million venture that concluded successfully in 2024. As a research leader, he has managed multidisciplinary teams in high-throughput drug screening, cancer modeling, and cell-factory development, ensuring the translational potential of every scientific outcome.

Research Interest

Dr. Huang’s research interests center on synthetic biology, specifically the design and deployment of gene circuits for bladder cancer therapy. His approach involves integrating programmable gene expression modules with delivery vectors that selectively induce pyroptosis in tumor cells, ensuring minimal off-target effects. Another major focus is the use of tumor organoid chips to create personalized models that can evaluate drug sensitivity and gene circuit performance under near-physiological conditions. His work also touches on tumor microenvironment remodeling, examining how synthetic control systems can modulate immune responses and cellular signaling to enhance therapeutic outcomes. His unique angle lies in the development of cell factories and controllable gene expression systems that bridge lab innovation and clinical feasibility.

Awards

Dr. Huang has received significant recognition for his scientific contributions, including the prestigious Chinese Medical Science and Technology Award. He is also a recipient of the Guangdong Provincial Special Support Program for Distinguished Talents, placing him among the Top 100 Scholars of Guangdong. These accolades reflect not only his leadership in synthetic biology but also his broader influence on China’s biomedical innovation ecosystem. His ability to translate benchside discoveries into actionable therapies has earned him a reputation as a transformative scientist and clinician-researcher.

Publications

BCG therapy in bladder cancer and its tumor microenvironment interactions

Authors: Ni Jian, Lei Yu, Lijuan Ma, Binbin Zheng, Weiren Huang, Christopher Staley, Aaron Miller
Journal: Clinical Microbiology Reviews
Year: 2025

CD133⁺PD-L1⁺ cancer cells confer resistance to adoptively transferred engineered macrophage-based therapy in melanoma

Authors: Jiaojiao Xu, Zhe Li, Qinli Tong, Sihang Zhang, Jianchen Fang, Aihua Wu, Guoguang Wei, Chen Zhang, Sheng Yu, Binbin Zheng, et al.
Journal: Nature Communications
Year: 2025

Modulation of SRSF2 expression reverses the exhaustion of TILs via the epigenetic regulation of immune checkpoint molecules

Authors: Ziqiang Wang, Kun Li, Wei Chen, Xiaoxia Wang, Yikun Huang, Weiming Wang, Wanjun Wu, Zhiming Cai, Weiren Huang
Journal: Cellular and Molecular Life Sciences
Year: 2020

yayong shi | Bioinformatics | Best Researcher Award

Assoc Prof Dr. yayong shi | Bioinformatics | Best Researcher Award

Peking University People’s Hospital, China

Publication Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Dr. Yayong Shi’s academic journey began with a Bachelor’s in Computer Science and Technology from the University of Science and Technology Beijing (2013-2017), where his interest in the intersection of technology and healthcare first took root. His pursuit of a Master’s degree in the same field at the same university (2018-2021) deepened his expertise in computer science, focusing on medical data analysis. This academic foundation laid the groundwork for his joint Ph.D. program, which he undertook between the University of Science and Technology Beijing and the PLA General Hospital Graduate School (2021-2024). His doctoral research marked a pivotal moment in his career, exploring bioinformatics and medical data, and setting him on a path toward blending technology and healthcare for impactful outcomes.

PROFESSIONAL ENDEAVORS 🏥

Dr. Shi’s professional journey led him to serve as an Associate Researcher at Peking University People’s Hospital & National Trauma Medical Center since July 2024. In this role, he is part of groundbreaking work in the medical field, combining computer science with real-time medical applications to drive early disease diagnosis and medical large model development. His position at one of China’s top medical institutions reflects his expertise in medical data processing and his growing reputation in the research community. This role allows him to further his research on multimodal data fusion and its application to early diagnosis, providing valuable insights into improving healthcare delivery and medical outcomes.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Shi’s research interests revolve around the fusion of multimodal data to enhance early disease diagnosis, particularly in critical medical conditions. His work on Medical Large Models has the potential to revolutionize how data is processed in medical environments, enabling faster and more accurate diagnoses. He is dedicated to improving medical data accuracy and predictive capabilities through advanced machine learning techniques. His contributions also include innovative research on optimizing data imbalances in disease prediction, handling missing labels in electronic health records, and completing medical data features in emergency rescue situations. His work has significantly influenced medical risk identification, offering groundbreaking systems that can process large volumes of healthcare data to identify critical risks in real-time.

IMPACT AND INFLUENCE 🌍

Dr. Shi’s influence extends beyond academic circles into real-world applications, particularly through his involvement in major research projects funded by the National Natural Science Foundation of China and the National Key R&D Program (Precision Medicine). His contributions to the Breast Cancer Onset and Prognosis Tracking System have made strides in precision medicine, where his work is helping shape systems for tracking disease onset and forecasting prognosis. His patents in optimizing medical data handling, especially in irregular medical time-series data and the construction of cross-medical-center chronic disease models, are prime examples of how his research is directly impacting the healthcare sector. Dr. Shi’s innovations are designed to improve efficiency and accuracy in healthcare diagnostics and treatments, offering a global ripple effect in advancing medical technologies.

ACADEMIC CITATIONS 📑

While specific citation counts may not be provided in this text, Dr. Shi’s groundbreaking research in areas such as medical data feature completion and automated discharge monitoring has gained recognition in various academic papers and journals. His work on machine learning and data analysis in healthcare settings has earned citations in studies focused on improving medical technologies, thus contributing to a broader dialogue in the medical technology community.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Dr. Shi’s legacy in the field of bioinformatics and medical data processing is being shaped by his persistent dedication to enhancing the quality of care through technology. With numerous patents to his name, his innovations are poised to redefine how data is handled in medical contexts. Looking forward, his continued work on medical large models and multimodal data fusion will likely influence the future of precision medicine, further advancing the integration of AI in healthcare. His potential contributions to personalized medicine, where each patient’s treatment is tailored based on data-driven insights, will undoubtedly leave a lasting impact on medical research, care standards, and patient outcomes for generations to come.

IMPORTANT RESEARCH PROJECTS 💡

Dr. Shi has been instrumental in leading major research projects like the Construction and Application of Network Information Support Systems and the Development of Medical Helicopter Systems, both of which aim to improve emergency medical services and infrastructure in China. These projects not only advance his work in medical data processing but also showcase his commitment to improving emergency healthcare systems, potentially saving countless lives by ensuring timely medical interventions.

Publication Top Notes

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model
    • Authors: Shi, Yayong, et al.
    • Journal: Tsinghua Science and Technology
    • Year: 2023
A Disease Transmission Model Based on Individual Cognition
    • Authors: Nian, Fuzhong, Yayong Shi, Zhongkai Dang
    • Journal: International Journal of Modern Physics B
    • Year: 2020
Modeling Information Propagation in High-Order Networks Based on Explicit–Implicit Relationship
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Journal of Computational Science
    • Year: 2021
EpiRiskNet: Incorporating Graph Structure and Static Data as Prior Knowledge for Improved Time-Series Forecasting
    • Authors: Shi, Yayong, et al.
    • Journal: Applied Intelligence
    • Year: 2024
COVID-19 Propagation Model Based on Economic Development and Interventions
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Wireless Personal Communications
    • Year: (Year not fully provided, please verify)
COVID-19 Transmission Dynamics in High-Risk Population Networks
    • Authors: Shi, Yayong, et al.
    • Journal: Control Theory and Applications
    • Year: 2020

Xiya Zhang – Immunoassay method – Best Researcher Award 

Assoc Prof Dr. Xiya Zhang - Immunoassay method - Best Researcher Award 

Henan Agricultural University - China

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Xiya Zhang began his academic journey in Veterinary Science, obtaining his Bachelor's degree from the College of Animal Science and Technology at Shihezi University in 2008. He further pursued his studies in the same field at Huazhong Agricultural University, earning a Master's degree in 2011. His deepening interest in veterinary science led him to a Ph.D. at China Agricultural University, where he focused on Basic Veterinary Science from 2013 to 2017. During his doctoral studies, Zhang honed his expertise in immunological techniques and their applications in food safety, laying a solid foundation for his future research career.

Professional Endeavors

After completing his Ph.D., Xiya Zhang joined the College of Food Science and Technology as an Associate Professor, where he has been instrumental in teaching and developing courses such as Instrumental Analysis, Food Safety Case Analysis, and Food Immunology. His role involves not only educating the next generation of food safety experts but also leading cutting-edge research projects.

Contributions and Research Focus On Immunoassay method

Assoc Prof Dr. Xiya Zhang's research is primarily focused on the rapid detection of contaminants in food products, an area of critical importance to public health and safety. His work specializes in the design and synthesis of small molecule haptens, preparation of monoclonal and polyclonal antibodies, and the exploration of antigen-antibody recognition mechanisms. This research is vital for developing new methods for detecting contaminants like mycotoxins, veterinary drug residues, and pesticide residues. Zhang has produced nearly 50 high-performance monoclonal antibodies that address these common issues, significantly advancing the field of food immunology.

Research Projects

Assoc Prof Dr. Zhang's leadership in several high-impact research projects has marked his career. He has been the principal investigator in projects funded by the National Natural Science Foundation and other prestigious institutions. These projects include studies on the sensitivity mechanisms of antibodies to antigens, the development of fluorescence resonance energy transfer lateral flow assays, and the molecular recognition mechanisms in antibodies. His work not only pushes the boundaries of scientific discovery but also has practical applications in improving food safety standards.

Papers and Publications

Assoc Prof Dr. Xiya Zhang has a prolific output of research publications, having authored or co-authored numerous papers published in high-impact scientific journals. His work is frequently published in journals such as Microchimica Acta, Journal of Hazardous Materials, and Food Chemistry. These papers often describe the development of innovative detection methods for food contaminants, showcasing his contributions to the field's advancement.

Accolades and Recognition

Throughout his career, Xiya Zhang has received recognition for his research excellence and contributions to food safety science. Although specific awards and honors are not detailed in the provided information, his leadership in funded research projects and his role as a primary author in multiple high-impact publications underscore his standing in the academic community.

Impact and Influence

Assoc Prof Dr. Xiya Zhang's research has had a significant impact on the field of food safety, particularly through the development of advanced immunological assays and detection techniques. His work not only enhances our understanding of antigen-antibody interactions but also leads to practical solutions that can be implemented in the food industry to ensure consumer safety.

Legacy and Future Contributions

Looking towards the future, Xiya Zhang is expected to continue his influential work in food safety immunology. His ongoing projects and continuous innovation in rapid detection methodologies suggest that his research will keep providing valuable insights and tools to tackle emerging food safety challenges. His legacy, characterized by a dedication to enhancing food safety through scientific excellence, will likely influence generations of researchers and professionals in the field.

Xiya Zhang's career is a testament to the profound impact that dedicated research can have on public health and safety, demonstrating how rigorous science can be translated into practical solutions for global challenges in food safety.

Notable Publication