Angelique Nicolas Messi | Computational Chemistry | Best Researcher Award

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Dr. Angelique Nicolas Messi | Computational Chemistry | Best Researcher Award

Department of Organic Chemistry, University of Yaoundé 1 | Cameroon

Dr. Angelique Nicolas Messi is a distinguished Cameroonian organic chemist and Senior Lecturer at the Department of Organic Chemistry, University of Yaoundé I. He also serves as the Head of the Department of Basic and Applied Fundamental Sciences at the State University of Ebolowa, where he teaches general and organic chemistry, analytical chemistry, thermodynamics, pharmacognosy, and research methodology. Dr. Messi earned his Ph.D. in Organic Chemistry from the University of Yaoundé I in 2018, focusing on the isolation, structural elucidation, and bioassay of biflavonoids from Ochna species. He expanded his expertise as a Postdoctoral Research Fellow at the University of Fribourg in Switzerland under Prof. Christian G. Bochet (2020–2021) and through research visits to the University of Free State, South Africa (2015, 2023). His research centers on pharmaceutical and natural product chemistry, emphasizing drug discovery from natural sources, including biflavonoids, flavonoids, and synthetic analogs with neuroprotective, anticancer, antimalarial, and anti-HIV properties. A prolific researcher and mentor, Dr. Messi has authored numerous peer-reviewed articles in high-impact journals such as Pharmaceutics, Molecular Neurobiology, Chemistry Africa, and Biochemical Systematics and Ecology. His scientific impact is reflected in 122 citations, an h-index of 5, and an i10-index of 4. Renowned for his expertise in chromatographic and spectroscopic techniques such as NMR, LC-MS, and HRESIMS, he has contributed significantly to the discovery of novel bioactive compounds. In recognition of his outstanding contributions, he was honored as the “Best Researcher in Organic Chemistry” in 2025 by the Research Chemistry Awards. Fluent in both French and English, Dr. Messi is an invited speaker at international conferences, a reviewer for leading scientific journals, and a strong advocate for green chemistry and sustainable drug development in Africa.

Profile: Google Scholar | Scopus

Featured Publications

  • Ndongo, J. T., Issa, M. E., Messi, A. N., Ngo Mbing, J., Cuendet, M., & Pegnyemb, D. E. (2015). Cytotoxic flavonoids and other constituents from the stem bark of Ochna schweinfurthiana. Natural Product Research, 29(17), 1684–1687.

  • Messi, A. N., Ngo Mbing, J., Ndongo, J. T., Nyegue, M. A., Tchinda, A. T., Yemeda, F. L., & Pegnyemb, D. E. (2016). Phenolic compounds from the roots of Ochna schweinfurthiana and their antioxidant and antiplasmodial activities. Phytochemistry Letters, 17, 119–125.

  • Djova, S. V., Nyegue, M. A., Messi, A. N., Afagnigni, A. D., & Etoa, F. X. (2019). Phytochemical study of aqueous extract of Ochna schweinfurthiana F. Hoffm powder bark and evaluation of their anti-inflammatory, cytotoxic, and genotoxic activities. Evidence-Based Complementary and Alternative Medicine, 2019, 8908343.

  • Messi, A. N., Bonnet, S. L., Owona, B. A., Wilhelm, A., Kamto, E. L. D., Ndongo, J. T., & Pegnyemb, D. E. (2022). In vitro and in silico potential inhibitory effects of new biflavonoids from Ochna rhizomatosa on HIV-1 integrase and Plasmodium falciparum. Pharmaceutics, 14(8), 1701.

  • Owona, B. A., Mary, A., Messi, A. N., Ravichandran, K. A., Mbing, J. N., & Pegnyemb, E. (2025). Biflavonoid methylchamaejasmin and Khaya grandifoliola extract inhibit NLRP3 inflammasome in THP-1 cell model of neuroinflammation. Molecular Neurobiology, 62(2), 1605–1619.

Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

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Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

Prof. Gresky Gutiérrez Sánchez, Pnud/Senacyt, Panama.

Gresky Gutiérrez Sánchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research 📊. He specializes in R and Python programming for advanced statistical solutions and has contributed significantly to bibliometric studies and innovation impact assessments. Currently pursuing a Ph.D. in Multivariate Statistics at the University of Salamanca 🎓, his research explores the application of Bootstrap techniques in sparse solutions. With a background in academia and governmental organizations, he has played a key role in national research projects in Panama 🇵🇦. His passion lies in transforming data into actionable insights for science and policy 📈.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky Gutiérrez Sánchez

Gresky Gutiérrez Sánchez is a distinguished statistician with extensive expertise in multivariate analysis, bibliometric research, and innovation impact assessment. His work spans both academic research and governmental applications, making significant contributions to data-driven decision-making in policy and scientific development. His research on Bootstrap techniques for sparse statistical solutions is advancing high-dimensional data modeling, while his machine learning and Big Data expertise enhances predictive analytics across multiple disciplines. Given his scientific contributions, international collaborations, and research excellence, he is a strong candidate for the Best Researcher Award.

🎓 Education & Experience

  • Ph.D. (In Progress, 2025) – Multivariate Statistics, University of Salamanca, Spain 🇪🇸

    • Thesis: “Bootstrap como Nuevo Enfoque para Estabilizar Soluciones Sparse”

  • M.Sc. (2021) – Advanced Multivariate Data Analysis & Big Data, University of Salaman

  • ca 🎓

  • B.Sc. (2017) – Statistical Engineering, University of Panama 🇵🇦

💼 Work Experience:

  • Statistical Expert, SENACYT (Current) 🏛️

    • Leading data-driven research on innovation and scientific development.

  • Data Analyst & Researcher, University of Salamanca (2020-2023) 🧪

    • Conducted bibliometric studies and statistical modeling for research projects.

  • Visiting Professor, University of Milagro, Ecuador (2022-2023) 🎓

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa Panamá (2018-2019) 📊

    • Developed analytical tools for financial audits and operational reviews.

🚀 Professional Development

Gresky Gutiérrez Sánchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making 🔍📈. His expertise in multivariate analysis, machine learning, and bibliometrics has enabled him to contribute to impactful research in academia and government sectors. He has designed statistical strategies for national innovation projects, collaborated on international studies, and trained professionals in statistical modeling and data analysis 🎓. As a speaker and educator, he actively shares knowledge on emerging trends in statistics and Big Data. His work bridges the gap between theory and real-world applications, fostering data-driven decision-making across disciplines.

🔬 Research Focus 

Gresky’s research centers on multivariate statistics, computational methods, and bibliometric analysis 📊. His Ph.D. work explores Bootstrap methodologies to enhance sparse statistical models, optimizing predictive accuracy for high-dimensional datasets. He is also deeply involved in scientometric studies, assessing scientific collaboration and innovation trends globally 🌍. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments 📉. His work integrates statistical theory with real-world applications, particularly in policy research, helping governments and institutions make data-driven decisions to foster sustainable development and research growth.

🏆 Awards & Honors

  • Research Fellowship, University of Salamanca (2021-2023) 🎓

  • Best Statistical Paper Presentation, VI National Congress of Statistics, Panama (2024) 📜

  • Government Recognition for Contributions to Innovation Research, SENACYT (2023) 🏅

  • Scientific Collaboration Award, Bibliometric Analysis in the Andean Region (2022) 🌎

  • Merit Scholarship for Master’s Studies, University of Salamanca (2019-2021) 🎖️

Publication Top Notes:

Scientific Collaboration and Sustainable Development: A Bibliometric Analysis of the Andean Region, Panama, and Spain

Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Published on by Global Nano Awards

Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Mr. Md. Saikat Hossen, University of Barishal, Bangladesh

Md. Saikat Hossen is a 3rd-year BSc student in Soil and Environmental Sciences at the University of Barishal, Bangladesh. Skilled in SPSS, R, GIS, and Canva, he combines technical and creative expertise in data analysis, graphic design, and research. Saikat has authored research papers, attended multiple workshops, and won 1st place in a poster design competition. Currently, he is a Research Intern at the Plasma Cell Research Center, focusing on immune responses to environmental pollutants. Dedicated to impactful research and problem-solving, he actively contributes to student organizations and research initiatives. 🌍💡

Professional Profile:

Orcid

✅ Suitability for Best Researcher Award

Md. Saikat Hossen demonstrates strong potential as a candidate for the Best Researcher Award despite being an early-career researcher. His multidisciplinary expertise in environmental sciences, data analysis, and computational research positions him as a promising and impactful contributor to the field.

🎓 Education & Experience

  • BSc in Soil and Environmental Sciences – University of Barishal (2023–Present) 🎯
  • Research Intern – Plasma Cell Research Center (July 2024 – January 2025) 🧪
    • Researching immune responses to environmental pollutants using computational and experimental methods.
  • IT and Research Enthusiast – University of Barishal (2023–2024) 💻
    • IT Secretary at BURHES, contributed to Quizzical 2.0 and Disaster Hackathon 2.0.
  • HSC – KafilUddin Degree College (2021) 📚
    • GPA 4.50 in Science Group
  • SSC – Hazirpara Hamidia High School (2019) 📖
    • GPA 4.06 in Science Group

🚀 Professional Development

Md. Saikat Hossen is actively developing his expertise in data analysis, research, and graphic design. He is proficient in SPSS, R, STATA, ArcGIS, and Adobe Illustrator. His research at the Plasma Cell Research Center focuses on modeling interactions between chemicals and proteins to predict health consequences of air pollution. Saikat has gained valuable experience as an IT Secretary at BURHES and through participation in Quizzical 2.0 and Disaster Hackathon 2.0. His multidisciplinary skills enable him to approach environmental challenges with innovative solutions. 🌍📊

🧪 Research Focus

Saikat’s research primarily focuses on environmental health and data analysis. At the Plasma Cell Research Center, he explores the impact of environmental pollutants on immune responses using computational and experimental approaches. His research involves modeling chemical-protein interactions to predict the health outcomes of air pollution. Saikat is particularly interested in soil health, pollution control, and sustainable agriculture. His work reflects a strong commitment to improving environmental health through data-driven insights and innovative methodologies. 🌿🌎💻

🏆 Awards & Honors

  • 🥇 1st Place – Poster Design Competition (2023)
  • 🌟 Voluntary Certificates – Recognized for contributions to BURHES (2023–2024)
  • 📜 GIS and Research Certificates – Awarded for excellence in geospatial analysis and research (2024)

Publication Top Notes:

Modeling the Interactions Between Chemicals and Proteins to Predict the Health Consequences of Air Pollution