Samson Ogunlade ~ Associate Lecturer

Profile:

Dr. Samson Ogunlade is a Mathematical Modeler, Biostatistics Lecturer and Research Officer at James Cook University. With a versatile skill set that combines expertise in mathematical modeling, statistical analysis, and interdisciplinary research, he has made remarkable contributions to teaching, research, and modeling practices in the fields of biostatistics and epidemiology.

Education and Expertise:

Samson obtained his B.Tech in Industrial Mathematics (first class) from the Federal University of Technology, Akure, Nigeria. He received a masters degree in Mathematical Sciences from African Institute for Mathematical Sciences, Senegal, followed by a research masters in Medicine (Biomathematics option) from the University of New South Wales, Sydney, Australia. Samson earned his PhD degree at the James Cook University. His doctoral research focused on the development and application of mathematical models to understand the potential of introducing different Wolbachia-infected mosquitoes to control Aedes-borne arboviral infections. Through his comprehensive training in both mathematics and statistics, he possesses a deep understanding of advanced modeling techniques and statistical methodologies, enabling him to provide valuable insights into complex biological and ecological systems.

Teaching and Mentorship:

As a dedicated Mathematician, Samson is highly regarded for his ability to impart knowledge and promote critical thinking among students. He excels in effectively conveying complex mathematical and statistical concepts, making them accessible and practical for learners at various levels. Driven by a passion for mentorship, he engages students through interactive teaching methods, encourage independent research, and provide personalized guidance to nurture their development as aspiring mathematical modelers and biostatisticians.

Research Excellence:

Samson serves as a vital member of the research community at Australian Institute of Tropical Health and Medicine, James Cook University, and his research is at the forefront of mathematical modeling and biostatistics. His notable contributions include developing mathematical models to predict the spread of infectious diseases, evaluating interventions for disease control, and investigating the impact of environmental factors on population health. His research outcomes have been published in respected scientific journals, underscoring his dedication to advancing knowledge and his commitment to scientific rigor.

Mathematical Modeling and Interdisciplinary Collaboration:

In his role as a Mathematical Modeler, Samson collaborates extensively with interdisciplinary teams, working closely with epidemiologists, physicists, mathematicians, environmental scientists, and healthcare professionals. He employs mathematical modeling techniques to design innovative strategies, elucidate complex systems, and analyze data to generate evidence-based solutions. Through his expertise, he bridges the gap between mathematical concepts and real-world applications, fostering collaborations that lead to significant advancements in addressing public health challenges. His research interests include infectious diseases' modelling and simulation, biostatistics and data analysis.

Professional Engagement and Leadership:

Samson actively participates in international conferences, workshops, and scientific forums, where he disseminates his research findings and foster collaborations. He strives to stay at the forefront of mathematical modeling and biostatistical advancements, actively contributing to the development of methodologies and theories in these fields. Additionally, he serves as a mentor to students, guiding them through research projects and helping them build strong foundations in mathematical modeling and biostatistics.

Overall, Samson is recognized as a highly industrious Mathematical Modeler, Biostatistics Lecturer, and Research Officer at James Cook University. His impressive academic credentials, research excellence, and commitment to interdisciplinary collaboration make him an invaluable asset to the academic community. Through his teaching, research, and modeling expertise, he continues to shape the future of mathematical modeling and biostatistics, leading the way in solving complex health and ecological challenges.

Teaching

• HS2402: Health Professional Research 1 (Level 2; CNS)

Experience

• 2023 to present - Lecturer, James Cook University (Townsville)
• 2021 to present - Research Officer, Australian Institute of Tropical Health and Medicine (Townsville)
• 2019 to 2023 - Associate Lecturer, James Cook University (Townsville)

Research Disciplines

• Epidemiology (4202)
• Applied mathematics (4901)
• Veterinary sciences (3009)

Socio-Economic Objectives

• Public health (2004)
• Evaluation of health and support services (2002)
• health (2099)

Awards

• 2023 - JCU Sessional Teaching Award
• 2011 - Best Graduating Student, Industrial Mathematics Department, Federal University of Technology, Akure (FUTA).
• 2011 - FUTA Excellence and Productivity Award Winner: Special Award for Branding the University
• 2011 - Silver Medalist, Third National Mathematics Competition for University Students (NAMCUS ’11) organized by the National Mathematical Centre, Abuja.

Other

• 2020 - 8th Heidelberg Laureate Forum Young Researcher, Heidelberg Laureate Forum Foundation, Germany.

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Ogunlade S, Adekunle A, Meehan M and McBryde E (2023) Quantifying the impact of Wolbachia releases on dengue infection in Townsville, Australia. Scientific Reports, 13.
• Ogunlade S, Meehan M, Adekunle A and McBryde E (2023) A Systematic Review of Mathematical Models of Dengue Transmission and Vector Control: 2010–2020. Viruses, 15 (1).
• Adamu A, Furlong M, Ogunlade S, Adikwu A, Anyang A, Malgwi A, Abdulrahman A, Bida N, Owolodun O and Adegboye O (2022) Seroprevalence of Influenza A Virus in Dromedaries in North-Western Nigeria. Pathogens, 11 (12).
• Ogunlade S, Adekunle A, McBryde E and Meehan M (2022) Modelling the ecological dynamics of mosquito populations with multiple co-circulating Wolbachia strains. Scientific Reports, 12.
• Bonyah E, Ogunlade S, Purohit S and Singh J (2021) Modelling Cultural Hereditary Transmission: Insight Through Optimal Control. Ecological Complexity, 45.
• Caldwell J, Le X, McIntosh L, Meehan M, Ogunlade S, Ragonnet R, O'Neill G, Trauer T and McBryde E (2021) Vaccines and variants: modelling insights into emerging issues in COVID-19 epidemiology. Paediatric Respiratory Reviews, 39. pp. 32-39
• McBryde E, Meehan M, Caldwell J, Adekunle A, Ogunlade S, Kuddus M, Ragonnet R, Jayasundara P, Trauer J and Cope R (2021) Modelling direct and herd protection effects of vaccination against the SARS?CoV?2 Delta variant in Australia. Medical Journal of Australia, 215 (9). pp. 427-432
• Ogunlade S, Meehan M, Adekunle A, Rojas Alvarez D, Adegboye O and McBryde E (2021) A review: Aedes-borne arboviral infections, controls and Wolbachia-based strategies. Vaccines, 9 (1).
• Ogunlade S, Adekunle A, Meehan M, Rojas D and McBryde E (2020) Modeling the potential of wAu-Wolbachia strain invasion in mosquitoes to control Aedes-borne arboviral infections. Scientific Reports, 10.
• Okosun K, Khan M, Bonyah E and Ogunlade S (2017) On the dynamics of HIV-AIDS and cryptosporidiosis. European Physical Journal Plus, 132 (8). pp. 338-363

The map shows research collaborations by institution from the past 7 years.
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