Frejus Tanguy ZINSOU | Biological Sciences | Best Researcher Award

Published on by Academic Awards

Mr. Frejus Tanguy ZINSOU | Biological Sciences | Best Researcher Award

Mr. Frejus Tanguy ZINSOU, Faculty of Agronomic Sciences (FSA) of the University of Abomey-Calavi (UAC), Benin

Fréjus Tanguy A. Zinsou is a PhD researcher in Animal Science with expertise in livestock production systems, climate change adaptation, and gender-based violence (GBV) in rural development. Born on November 15, 1988, in Cotonou, Benin, he holds a Master of Science in Animal Production & Management from the University of Ibadan, Nigeria. Zinsou has worked extensively in livestock management, climate change, and community-based projects. His recent research includes cattle and poultry feeding strategies, and he has also developed applications like “AniManag” and “Feed Formulator” to aid livestock farmers. He is active in professional networks and has contributed to various scientific conferences and community projects across Benin and beyond. Zinsou’s technical skills include statistical analysis (SPSS, R), survey tools (KoboToolbox), and project management software (EndNote). He is fluent in both French and English.

Publication Profile

Orcid

🎓 Academic Background

Mr. Frejus Tanguy Zinsou is an accomplished scholar in animal science and production. He earned his Master of Science degree (2017-2019) in Animal Production and Management from the Department of Animal Science, Faculty of Agriculture, University of Ibadan, Nigeria. Prior to this, he completed his undergraduate degree in Animal Production in 2013 at the Faculty of Agronomic Sciences, University of Abomey-Calavi (UAC), Benin. His educational journey reflects a strong commitment to advancing knowledge and expertise in animal production and management. 🐄📚

 

🏆 Scholarships & Awards

Mr. Frejus Tanguy Zinsou has been recognized with prestigious scholarships and awards for his academic and leadership excellence. From 2017 to 2019, he received a scholarship to pursue his Master’s degree in Animal Production and Management at the University of Ibadan, Nigeria, under the West Africa Agricultural Productivity Project (WAAPP-Benin). In June 2023, he was awarded a Leadership and Business Management Training Scholarship at Jackson State University, USA, as part of the Mandela Washington Fellowship for Young African Leaders Initiative (YALI). These honors underscore his dedication to growth and impactful leadership. 🌟🎓

 

🌟 Professional Experiences

Mr. Frejus Tanguy Zinsou brings a wealth of expertise through diverse roles. Since December 2023, he has been a PhD researcher in cattle and poultry feeding strategies at the Faculty of Agronomic Sciences (UAC), Benin. As the promoter of Afro Green Business since 2022, he fosters sustainable agriculture. He served as Volunteer/Projects Officer at NGO BEDD (2020–2023) and Research Assistant in Zootechnics and Animal Parasitology at UNA (2019–present). Earlier roles include Secrétaire Général at NGO “Give One Project” (2016–2017) and teaching veterinary clinics at Medji Agricultural High School. His career reflects dedication to livestock innovation and community impact. 🐄🐓📚

 

🎓 Trainings

Mr. Frejus Tanguy Zinsou has participated in extensive professional training. Highlights include a Leadership Summit in Washington, D.C. (2023) and Business Management training at Jackson State University, USA. He honed project design and evaluation skills via YALI and the University of Georgia (2022–2023). Proficient in statistical analysis using R, he trained at Makerere University, Kenya (2022). Additional expertise includes mediation design (Paris, 2022), identifying predatory journals (UAC, 2022), and scientific communication (2021). Notably, he advanced his English proficiency at Ibadan University and the U.S. Embassy in Benin. His training supports his commitment to impactful research and leadership. 🌍📊📚

 

Research Focus

Dr. Fréjus T.A. Zinsou specializes in agricultural and veterinary sciences, focusing on sustainable livestock farming and parasitic disease management in small ruminants. His research explores the anthelmintic effects of medicinal plants like Pterocarpus erinaceus, Carica papaya, and Anogeissus leiocarpus 🪴. He also investigates gastrointestinal parasite control 🦠, nutritional interventions in livestock 🥗, and innovative farming practices for Red Maradi goats in Benin. His works emphasize zootechnical performance, climate change adaptation, and the integration of traditional herbal medicine 🌍. Dr. Zinsou’s efforts contribute to enhancing animal health, productivity, and sustainability in rural farming communities. 💡📚

 

Publication Top Notes

  • Typology of Red Maradi goat farming systems in Benin based on farmers’ survey (2024) 🐐
    DOI: 10.1016/j.heliyon.2024.e40256
  • Traditional Herbal Medicine and its Prospects among Goat Breeders of Benin (2023) 🌿🐐
    DOI: 10.58803/jvpp.v2i3.28
  • In vitro Effects of Anogeissus leiocarpus and Adansonia digitata on Two Life-cycle Stages of Haemonchus contortus (2022) 🧬🐏
    DOI: 10.11648/j.avs.20221001.11
  • In vivo anthelmintic effects of Pterocarpus erinaceus and Parkia biglobosa on Haemonchus contortus (2022) 🌳🐑
  • Use of Carica papaya leaf as growth promoter and anti-parasitic in guinea fowl in Benin (2022) 🍃🐓
  • Nutritional and anticoccidial properties of papaya (Carica papaya) leaf meal on growing rabbits (2022) 🥗🐇
  • Guide de gestion technico-économique des élevages avicoles (2022) 📘🐓
  • Anogeissus leiocarpus, medicinal plant traditionally used in West and Central Africa: Zootechnical performances, pharmacological activities and chemical compositions (2021) 🌴⚗️
  • In vitro effects of maize silage extracts on Haemonchus contortus, gastrointestinal nematode parasite in Red Maradi Goats (2021) 🌽🐐
  • Improved Traditional Drugs: Sustainable management of gastrointestinal parasitic nematodes of small ruminants (2021) 💊🐑
    DOI: 10.22270/jddt.v11i2-s.4811

Assist Prof Dr. Chen Huang | Bioinformatics | Best Researcher Award

Published on by Academic Awards

Assist Prof Dr. Chen Huang | Bioinformatics | Best Researcher Award

Assist Prof Dr. Chen Huang, Macau University of Science and Technology, Macau

Assist. Prof. Dr. Chen Huang is a distinguished researcher in the field of bioinformatics, known for his groundbreaking work in computational biology and data analysis. He currently serves as an Assistant Professor at a leading university, where he combines his expertise in computer science and molecular biology to advance research in genomics and personalized medicine. Dr. Huang has been recognized for his innovative approaches to solving complex biological problems, earning him the prestigious Best Researcher Award. His contributions have significantly impacted the understanding of genetic data and the development of novel bioinformatics tools, making him a leader in his field

Publication profile

Academic Qualification

Assist. Prof. Dr. Chen Huang holds a Ph.D. in Biomedical Sciences with a specialization in Bioinformatics from the Institute of Chinese Medical Sciences at the University of Macau, China (2012-2017). He also earned an M.E. in Bioinformatics from the Biological Information Science and Technology Institute at Harbin Medical University, China (2007-2010). Dr. Huang began his academic journey with a B.S. in Biotechnology, focusing on Biopharmaceuticals, from the College of Life Science at Nanchang University, China (2003-2007). His diverse educational background has laid a strong foundation for his pioneering research in bioinformatics.

Working Experiances

Assist. Prof. Dr. Chen Huang is currently serving as an Assistant Professor at the State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, a position he has held since 2020. Prior to this role, he completed a post-doctoral fellowship at the Faculty of Health Sciences, University of Macau, Macao, from 2017 to 2020. Before his post-doctoral tenure, Dr. Huang worked as an Analyst at the Beijing Genomics Institute in Shenzhen (BGI-Shenzhen) from 2010 to 2012.

Publication Top Notes

Lu, C., Huang, C., Qu, S., Lin, H., Zhong, H.-J., & Chong, C.-M. (2024). Oxyimperatorin attenuates LPS-induced microglial activation in vitro and in vivo via suppressing NF-κB p65 signaling. Biomedicine & Pharmacotherapy. https://doi.org/10.1016/j.biopha.2024.116379

Yang, X., Wu, Y., Chen, X., Qiu, J., & Huang, C. (2024). The transcriptional landscape of immune-response 3′-UTR alternative polyadenylation in melanoma. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms25053041

Zhang, Y.-Z., Lai, H.-L., Huang, C., Jiang, Z.-B., Yan, H.-X., Wang, X.-R., Xie, C., Huang, J.-M., Ren, W.-K., Li, J.-X., Zhai, Z.-R., Yao, X.-J., Wu, Q.-B., & Leung, E. L.-H. (2024). Tanshinone IIA induces ER stress and JNK activation to inhibit tumor growth and enhance anti-PD-1 immunotherapy in non-small cell lung cancer. Phytomedicine. https://doi.org/10.1016/j.phymed.2024.155431

Cheng, X., Deng, M., Wang, Z., & Huang, C. (2024). MMP3C: An in-silico framework to depict cancer metabolic plasticity using gene expression profiles. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbad471

Wang, Z., Chen, X., Si, W., & Huang, C. (2023). Systemic pharmacology and bioinformatics: Exploring the modern biological mechanisms of rhubarb in the treatment of papillary thyroid carcinoma. MedComm – Future Medicine. https://doi.org/10.1002/mef2.69

Huang, C., Deng, M., Leng, D., Sun, B., Zheng, P., & Zhang, X. D. (2023). MIRS: An AI scoring system for predicting the prognosis and therapy of breast cancer. iScience. https://doi.org/10.1016/j.isci.2023.108322

Feng, Y., Chen, X., Zhang, X. D., & Huang, C. (2023). Metabolic pathway pairwise-based signature as a potential non-invasive diagnostic marker in Alzheimer’s disease patients. Genes. https://doi.org/10.3390/genes14061285

Cheng, T., Wu, Y., Liu, Z., Yu, Y., Sun, S., Guo, M., Sun, B., & Huang, C. (2022). CDKN2A-mediated molecular subtypes characterize the hallmarks of tumor microenvironment and guide precision medicine in triple-negative breast cancer. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2022.970950

Wu, L., Hou, X., Luo, W., Hu, H., Zheng, X., Chen, Y., Cheng, Z., Huang, C., & Sun, B. (2022). Three patterns of sensitization to mugwort, timothy, birch, and their major allergen components revealed by latent class analysis. Molecular Immunology. https://doi.org/10.1016/j.molimm.2022.03.009

Cheng, T., Chen, P., Chen, J., Deng, Y., & Huang, C. (2022). Landscape analysis of matrix metalloproteinases unveils key prognostic markers for patients with breast cancer. Frontiers in Genetics. https://doi.org/10.3389/fgene.2021.809600

Yue Gao | Bioinformatics Award | Best Researcher Award

Published on by Academic Awards

Ms. Yue Gao | Bioinformatics Award | Best ReBioinformatics Awardsearcher Award

Ms. Yue Gao, Qufu Normal University, China

Assessment of Ms. Yue Gao for the Best Researcher Award

Publication profile

Scopus

Educational Background and Current Pursuits

Ms. Yue Gao is currently pursuing her master’s degree at the School of Computer Science, Qufu Normal University, Rizhao, China, after obtaining her B.S. degree from the same institution in 2023. Her academic trajectory shows a strong foundation in computer science, which is crucial for her research areas of interest. Her current focus is on pattern recognition and bioinformatics, fields that are highly relevant and evolving rapidly in today’s scientific landscape. This educational background provides a solid base for her ongoing research efforts.

 

Research Contributions in Spatially Resolved Transcriptomics Data Analysis

Ms. Gao’s work, as evidenced by her co-authorship in the paper titled “A Review of Recent Advances in Spatially Resolved Transcriptomics Data Analysis,” published in Neurocomputing in 2024, reflects her engagement with cutting-edge topics in bioinformatics. The paper contributes to the growing body of knowledge in transcriptomics, a field critical for understanding gene expression in a spatial context. Although this publication has not yet garnered citations, it demonstrates her ability to collaborate on significant scientific reviews, laying the groundwork for future impact in this domain.

Innovative Approaches in Pattern Recognition

In her conference paper “Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder,” published in the Lecture Notes in Computer Science series in 2023, Ms. Gao explores advanced methodologies in pattern recognition. The use of a Graph Attention Denoising Auto-encoder represents a novel approach to spatial domain identification, highlighting her innovative contributions to the field. The paper has received one citation, indicating initial recognition of her work within the academic community.

Publication Top Notes

A review of recent advances in spatially resolved transcriptomics data analysis

Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder

Conclusion

Ms. Yue Gao exhibits promising potential as a researcher, particularly in the areas of pattern recognition and bioinformatics. Her contributions to these fields, while still in the early stages, are grounded in robust academic training and demonstrate innovative thinking. Although her work is just beginning to gain traction in terms of citations, her research outputs align with the criteria for the Best Researcher Award. However, given the competitive nature of such awards, further recognition through citations and continued publication of impactful research would strengthen her candidacy.