About Me

I am a Biostatistics Graduate Research Fellow and a PhD Candidate at Brown University’s School of Public Health in Providence, Rhode Island, USA. My research interests revolve around using data to inform public health decisions through statistical machine learning, missing data and causal inference, survival analysis, and statistical modeling.

In 2019, I led a team that emerged as the third runner-up in a hackathon where we designed an ensemble of machine learning algorithms for patient classification in a diagnostic healthcare context. In September 2021, I was awarded the Moi-Brown Partnership in Biostatistics Training and HIV Research (NAMBARI) Fellowship, a collaborative program between Moi and Brown University geared towards capacity building in Biostatistics. I also received the Best Master of Science Student Poster Award at the 2023 Brown University’s Annual Public Health Research Day in Spring 2023 and the Master’s Thesis Award of Excellence from the Department of Biostatistics at Brown University in May 2023. I earned my Master of Science Degree in Biostatistics from the Brown University Graduate School in May 2023.

On this website, you’ll get to know more about the stuff I like including some of the research I have published, student projects in courses I have taken, talks, conferences, and presentations I have given, selected topics in statistical learning, among other random things I have found interesting. Feel free to contact me.