Abdulmalik Adeyemo is a data scientist focused on the application of data analytics, cutting-edge Machine Learning and Deep Learning techniques to solve concrete business problems.

He earned a First Class Bachelor’s degree in Computer Engineering from the University of Ilorin and was branded the department’s best graduating student.

He is actively involved in the use of artificial intelligence to improve healthcare service and delivery in Africa. He has worked on several AI in healthcare projects, including AI-assisted chest X-ray diagnosis, brain tumor detection from MRI scans, and Diabetic Retinopathy detection from fundus images.

He is the Founder and CEO of FundusAI LTD, an AI driven startup that helps prevent blindness in diabetic patients by providing an automated diagnostic system that allows more patients to be diagnosed in less time.

Technical Skills: Python, Pandas for Data Analysis, NumPy, SciPy, Matplotlib, Power-BI, DAX, SQL, Scikit-learn, Machine Learning, Deep Learning, Git & GitHub, Raspberry PI Programming.

Soft Skills: Problem Solving, Communication, Team Work, Leadership

Ongoing Research

• Title: Automated Diagnosis of Diabetic Retinopathy from Fundus Images using Deep Learning Link to Abstract

Research Experience

Undergraduate Research Assistant [10/2019 – 05/2021]

Computer Engineering, University of Ilorin, Ilorin, Nigeria.

Supervisor: Dr Aye Ajiboye

Undergraduate Thesis: Design and Development of a Semi-Autonomous Drone System.

• Wrote a research proposal, reviewed literature, and reported findings on a semi-autonomous drone system for security surveillance and package delivery.
• Wrote and submitted the mathematical analysis of the drone design for a thrust-to-weight ratio of 2:1.
• Led a team of 7 students in the design and development of a semi-autonomous drone system for surveillance, security and package delivery.

Conferences and Presentations

• Department of Surgery, University of Ilorin research day on “Emerging Technologies in Surgery, Implication for Training and Practice in Resource Poor Settings”, A 4 minute presentation by Abdulmalik Adeyemo, on “Automated Diagnosis Of Diabetic Retinopathy From Fundus Images Using Artificial Intelligence” [7/10/2022]
• Exhibitor at Digital Nigeria Conference on “Digital Transformation: A path to sustainable digital economy”.
• Deep Learning IndabaX conference on “Responsible AI in National Security and Healthcare”.
• Abdulmalik Adeyemo (2021): Design and Development of a Semi-Autonomous Drone System. A B.Eng undergraduate research project, submitted to the department of Computer Engineering, University of Ilorin, Ilorin, Nigeria.

About FundusAI

FundusAI helps prevent blindness in diabetic patients by proving an automated diagnostic system that allows more patients to be diagnosed in less time.

FundusAI solves three major problems: the scarcity of eye doctors, which is solved by our AI solution, the high cost of diagnostic tools, which is solved by our low-cost diagnostic device that captures eye images, and the time-consuming manual diagnosis, which is solved by a combination of fast eye image capturing and diagnosis.