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Asegunloluwa Babalola
What I've done
Highest degree
PhD
Current role
Lecturer/Instructor/Teacher
Skills
AI AI in medical imaging Algorithms Artificial Intelligence in Medicine Artificial Neural Networks Azure BERT BLAST C/C++ CNN Collaboration computer vision Conda Core Skills • Research & Development: Expertise in designing Cross-validation data analyst Data Mining data science Data Visualization Database Management Deep Learning DNA Sequencing Education. Feature engineering Generative AI GitHub Grant Writing graph NN Hugging Face Image Analysis Image processing Java Jupyter Notebooks K-Nearest Neighbors Keras Leadership Literature Review LLM fine-tuning Machine Learning (ML) manuscript editing and peer review Manuscript writing Matplotlib Mentoring microRNA Microsoft Office Multi-Agent Systems NumPy OpenCV Pandas peer review Phylogenetic Analysis Plotly Poster Presentations PostgreSQL Predictive modeling Presentation Skills Problem Solving Python (Flask Python Programming Pytorch R language for data analysis RAG (Retrieval-Augmented Generation) Random Forest reinforcement learning Remote Sensing Research and Development Research Methodology RNA Sequencing RNN Scientific Writing Scikit-learn SciPy Seaborn stochastic process Streamlit) Supervised learning Support Vector Machines (SVM) t-SNE Tableau Teaching and mentorship Team spirit Teamwork Tensorflow Time Management Transformer models Unity University teaching unsupervised learning XGBoost
Contribution to Project (1)
Developing a deepfake detection system using deep learning techniques for media authenticity analysis.
Contribution to Project (2)
Working on African food recognition using computer vision methods for food classification and related applications.
Contribution to Project (3)
Participated in coronavirus therapeutic research using miRNA-mediated inhibition of RdRp expression.
What I'm looking for
Sector(s) of Interest
Industry Academia
Role(s) of Interest
Group Leader/Faculty/PI Lecturer/Instructor/Teacher Peer-Reviewer Postdoc
Research Fields & Keywords
algorithms artificial intelligence bayesian deep learning big data biodiversity Bioinformatics and Computational Biology cardiovascular computer science computer vision COVID-19 Data Analysis data science data visualization deep learning diabetes digital health DNA sequencing early diagnosis energy management Food and nutrition Graph Neural Networks health data science health informatics image analysis image processing Image segmentation llm machine learning malaria medical imaging mental health microRNA neural networks Optimization phylogeny Predictive Analytics rna polymerase Swarm Intelligence water management decision-making
Supervision preferences
I am comfortable working independently on manuscript reviews and providing detailed, structured feedback. With my background in computer science research and academic supervision, I have experience evaluating methodology, data analysis, and overall research quality.
I am also open to collaborative review processes when required, especially for interdisciplinary work or where alignment with specific editorial guidelines is needed.
Career Goals
Group Leader/Faculty Consulting
Countries of Interest
Argentina Australia Austria Belgium Botswana Brazil Canada China Costa Rica Croatia Cyprus Denmark Egypt Estonia Ethiopia Finland Georgia Germany Ghana Greece Grenada Haiti Hungary Iceland India Indonesia Ireland Italy Jamaica Kuwait Malaysia Mauritius Moldova Netherlands New Zealand North Korea Norway Poland Portugal Romania Russia Singapore South Africa Spain Sweden Switzerland Syria Thailand Turkey United Arab Emirates United Kingdom (UK) Venezuela Vietnam Zimbabwe
Remote requirements
On-site Hybrid Remote
Contact and Links
Email, LinkedIn, Google Scholar