Team

Dr. Abiodun Fatade, MBBSS, FWACS

Managing Director

Crestview Radiology, Lagos Nigeria

He is a renowned Radiologist and medical practitioner with over three decades of experience in the healthcare industry. He is the MD/CEO of Crestview Radiology Limited, a foremost radio-diagnostic group in Nigeria. In addition to his work in private practice, Dr. Fatade has accumulated significant experience in collaborating with both federal and state governments across several public-private partnerships.

Dr. Udunna Anazodo, Ph.D.

Scientific Director

McGill University, Quebec

Udunna Anazodo, PhD, Assistant Professor in the Department of Neurology and Neurosurgery, is also a member of the Neuroimaging and Neuroinformatics research group at The Neuro. She joined The Neuro from the Lawson Health Research Institute in London, Ontario where she was Assistant Professor of Medical Biophysics.

Maruf Adewole, PhD

Executive Director

University of Pennsylvania

Maruf Adewole, PhD, is a Medical Physicist and Executive Director of the Medical Artificial Intelligence Laboratory (MAI Lab). His work focuses on AI-driven medical imaging, cancer diagnosis, and building locally relevant medical AI capacity in Africa.

Dr. Farouk Dako, MD, MPH

Principal Investigator

University of Pennsylvania

Dr. Farouk Dako is an Associate Professor of Radiology at Penn and the new Director of the Botswana-Upenn Partnership as well as the Founding Director of Penn’s Center for Global and Population Health Research in Radiology. He is a highly respected global health researcher and clinician whose work in medical imaging, artificial intelligence, and health systems innovation has advanced clinical care and health equity in low-resource settings, particularly across sub-Saharan Africa.

Dr. Oluyemisi Toyobo, MBBSS, FWACS

Principal Investigator

Crestview Radiology, Lagos, Nigeria

Dr. Yemisi Toyobo is a Consultant Radiologist who has practiced radiology for over several years, His area of interest is in Breast Imaging and Uroradiology ..

Prof. Danny Alexander, PhD

Affiliate Investigator

University College London

Professor of Imaging Science, Centre for Medical Image Computing, Department of Computer Science

Anu Gbadamosi

Imaging and Informatics Scientist

Medical Artificial Intelligence Laboratory

Dr. Charity Umoren, MBBS

Manager

Medical Artificial Intelligence Laboratory

Medical Doctor turned AI Engineer, building LLM-powered applications, intelligent agent systems, RAG pipelines, and end-to-end AI automations.

Ifeoluwa Oladeji

Software Engineer

Medical Artificial Intelligence Laboratory

I am a Research Scientist working at the intersection of medical imaging AI, computational neuroscience, neuroimaging, and clinical imaging informatics.

Nimota Yusuf

Researcher

Medical Artificial Intelligence Laboratory

A microbiologist and science communicator who believes biomedical science shouldn't stop at the laboratory or remain hidden in research papers. It should help people make better decisions about their health.

Tolulope Olusuyi

Operational Manager

Medical Artificial Intelligence Laboratory

I am a Data Scientist with experience in applying machine learning skills to tackle complex healthcare challenges. With a foundation in Biochemistry and experience in administrative roles, my journey into data science has been driven by a commitment to using data-driven solutions to improve patient outcomes.​

Iyanuoluwa Fadairo

Interns

Medical Artificial Intelligence Laboratory

I am a medical researcher with a background in Biomedical Engineering, interested in the intersection of medical AI, neuroscience, and women’s health. My research interests focus on women’s brain health, African health datasets, and the development of AI-driven approaches for medical imaging, diagnosis, and healthcare research. I am particularly interested in addressing the underrepresentation of African populations in biomedical research and developing solutions that are relevant to our healthcare context. My previous work includes research on hormonal influences on brain health in adult African females, low-field MRI development, and the application of deep learning to medical imaging. Through these projects, I have developed experience in research methodology & synthesis, neuroimaging, medical AI, and interdisciplinary healthcare research. Going forward, I aim to build a career in medical AI and neuroimaging research, with a focus on developing clinically meaningful technologies and contributing to more representative and inclusive healthcare datasets, particularly for African populations and women.