Mrs. Oluwatosin Adepeju OGUNSOLA photograph
FUOYE Academic Staff Profile

Mrs. Oluwatosin Adepeju OGUNSOLA

Assistant Lecturer

Department of Biochemistry, Faculty of Life Sciences

Area of Specialization: Biochemistry with specialization in Computational Biochemistry and Bioinformatics, and applications of Artificial Intelligence in Biomedical Sciences.

Biography

I am an assistant lecturer in biochemistry with a strong interdisciplinary interest in the application of artificial intelligence, machine learning, and data analytics to biological and biomedical sciences. My academic work integrates core principles of biochemistry with computational approaches to advance research and problem-solving in healthcare and life sciences.

I have a solid background in biochemistry and molecular sciences, with teaching and research experience that spans undergraduate instruction, laboratory support, and academic mentoring. My work in biochemistry provides the foundation for my interest in understanding biological systems at the molecular level, particularly in relation to disease mechanisms and diagnostics.

In addition to my core discipline, I have developed strong technical skills in Python programming, SQL database design, and machine learning model development. I have applied these skills in projects such as malaria cell image classification, where I used computer vision techniques to support automated analysis of biomedical images. I have also worked on structured database systems using MySQL and developed interactive data applications using Streamlit for data visualization and reporting.

I have contributed to academic training and capacity-building initiatives, supporting students in developing foundational skills in programming and data analytics. This has strengthened my ability to translate complex scientific and technical concepts into practical learning experiences.

My academic interests lie at the intersection of biochemistry, artificial intelligence, machine learning, and health informatics. I am particularly interested in how computational tools can enhance biological research, improve diagnostic systems, and support data-driven healthcare solutions.

I remain committed to continuous academic growth, effective teaching, and impactful research that bridges the gap between classical biochemical science and modern computational technologies.

Research Interests

Molecular Biochemistry, Disease Mechanisms, Computational Biology, Bioinformatics, Machine Learning applications in Healthcare, and Artificial Intelligence for Biomedical Data Analysis

Qualifications

DegreeInstitutionYear
MSc. BiochemistryUniversity of Ilorin2018
BSc. BiochemistryUniversity of Ilorin2014

Professional Qualification

Data Science Certification Β· 2024

IBM

Grants

Master's Thesis Β· 2024

TWAS (The World Academy of Science)

Membership of Professional Bodies

Nigerian Society of Biochemistry and Molecular Biology (NSBMB) Β· 2026

Early Career

Organization for Women in Science for the Developing World Β· 2026

Early Career

Women in Artificial Intelligence Β· 2025

Early Career

Course Teaching

BCH 302 Β· 2025/2026 Second Semester

CHEMISTRY AND METABOLISM OF NUCLEIC ACIDS

BCH 314 Β· 2025/2026 Second Semester

PROTEIN STRUCTURE AND FUNCTION

BCH 202 Β· 2025/2026 Second Semester

PRACTICAL BIOCHEMISTRY

Professional Skill

Biochemistry Laboratory Techniques

Application of standard biochemical and molecular biology methods for experimental analysis and research.

Research design and academic writing

Designing research studies, analyzing scientific data, and preparing academic publications and reports.

Data Analysis and Statistical Interpretation

Analyzing biological and experimental data using statistical tools to derive meaningful conclusions

Python Programming (Data Science & AI)

Developing scripts and models for data analysis, machine learning, and computational problem-solving

SQL Database Design and Management

Designing, implementing, and managing relational databases for structured data storage and retrieval.

Machine Learning and Predictive Modeling

Building and training models for classification, prediction, and pattern recognition in datasets

Computer Vision and Biomedical Image Analysis

Applying deep learning techniques to analyze medical and biological images, including disease detection

Data Visualization and Dashboard Development

Creating interactive dashboards and visual reports using tools such as Streamlit for data presentation

Teaching and Curriculum Delivery

Delivering lectures and practical sessions in Biochemistry and related life science courses

Academic Mentoring and Student Supervision

Guiding students in academic projects, research activities, and skill development

Scientific Communication and Presentation

Presenting research findings clearly in seminars, workshops, conferences, and academic forums

Selected Publications

Physicochemical methods of food preservation to ensure food safety and quality

Authors: MC Ogwu, OA Ogunsola

Springer β€’ 2024

Open publication

Academic Research & Publication Platforms

Connecting FUOYE academic profiles with global research visibility platforms.

Stakeholder Testimonials

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Federal University Oye-Ekiti
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