Greetings! I am a Vision Science Ph.D. student at Indiana University Bloomington, working in the Vision In Action Lab led by Dr. Kathryn Bonnen. My academic background is rooted in Artificial Intelligence, Machine Learning, and Computer Vision, having completed the prestigious African Masters of Machine Intelligence (AMMI) program, proudly supported by Facebook and Google.
I began my journey at the African Institute for Mathematical Sciences (AIMS), where I developed a deep appreciation for mathematics, problem-solving, and their powerful real-world applications.
My passion for education and innovation was sparked early in my career while working as an instructor, helping young learners build robots using LEGO®, recycled materials, and drag-and-drop programming tools. Watching creativity and logic come alive in those classrooms laid the foundation for my ongoing interest in learning systems and intelligent behavior.
Currently, my research focuses on the intersection of gaze behavior, unsupervised representation learning, and computer vision, with a long-term goal of developing biologically inspired algorithms that advance our understanding of visual perception, attention, and behavior. I am particularly interested in how machine learning can help decode complex multimodal data to gain insights into human vision and cognition.
Prior to my Ph.D., I served as a lecturer at Academic City University College, where I taught courses in Artificial Intelligence, Machine Learning, Robotics, and Problem Solving. Mentoring future innovators and researchers remains one of the most rewarding aspects of my journey.
Join me as I explore the frontiers of human and machine intelligence—bridging disciplines to design systems that see, learn, and act in ways inspired by the human brain.
MSc. Machine Intelligence
Africa Masters of Machine Intelligence(AMMI-Rwanda)
Project Supervisor: Dr. Dinesh Jayaraman
BSc. Information Technology, 2013
Ghana Technology University College (GTUC)
Project Supervisor: Mr. Dominic Louis
[April 2021] Workshop Paper Presentation at AfricaNLP2021. Fast Development of an ASR system for 3 Low-Resourced African Languages using Self-Supervised Representation Learning. View PDF on arXiv and Watch on Youtube
[2015] Feature on Aljazeera's Innovate Africa Teaching robotics and smart systems Innovations from Africa.
[2013] Feature on the Guardian 'Could the next Google come from Africa?'
Python
C++
NXC
Git
VSCode/PyCharm
Latex/Linux
Pytorch/Pytorch_lightning
Tensorflow
OpenCV