About Me
I am a first year Doctoral Student in the Computational and Data Sciences program at Washington University in St. Louis. I am also a McDonnell Leadership Academy Scholar in the 2022 Cohort.
I am in interested in the use of Machine Learning and Artificial Intelligence to harness the increasingly large amounts of data available to solve problems.
I hold a Masters Degree in Computer Science (May 2022) from Washington University in St. Louis. For my masters 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 bachelors 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 statuses remote automatic weather stations (AWS) in Uganda.
I have a strong passion towards improving access to education for young people in underpriviledged communities. I am proud to be associated with and to support the work of two non-profits; Harambee Center and Kingdom Home.