About Me
I am a Ph.D. candidate in the Computational and Data Sciences program at Washington University in St. Louis, where I am also a fellow at the McDonnell Leadership Academy.
My research focuses on Human-AI interaction, specifically using data-centric methodologies to model and understand human behavior. I explore how AI systems can collaborate more effectively with humans in decision-making processes, with applications in fields like education and healthcare. By analyzing behavioral data, I aim to uncover nuanced patterns that enable AI to provide more personalized and adaptive support, leading to human-centered solutions that improve learning outcomes and patient care.
Advised by Professor Chien-Ju Ho and co-advised by Professor Dennis Barbour, I am focused on advancing the integration of AI into real-world applications. My work seeks to enhance the interaction between humans and machines, enabling AI systems to better understand and respond to individual behaviors.
I hold a Master’s Degree in Computer Science (May 2022) from Washington University in St. Louis. For my master’s thesis under the advisory of Dr. Marion Neumann, I studied the use of crowdsourcing and Machine learning methods to predict sentiments in student feedback collected from large-scale computer science courses. I demonstrated that although Machine learning methods outperform lexicon-based methods such as VADER in sentiment prediction they require quality labels which can be collected through crowdsourcing.
I earned my bachelor’s degree in Software Engineering from Makerere University in Uganda. During undergraduate study under the supervision of Dr. Mary Nsabagwa, I worked with three other colleagues and we developed a monitoring tool that simplified the tracking of the status of remote automatic weather stations (AWS) in Uganda.
I am passionate about improving young people’s access to education in underprivileged communities. I serve on the board of two non-profits, Harambee Center and Kingdom Home, and take pride in supporting their important work.