Hi there! I am a PhD candidate in the School of Industrial Engineering at Purdue University advised by Denny Yu in the Healthcare Ergonomics Analytics Lab. I have worked as a Wearables User Experience Key Performance Indicator Research Intern at Google where I defined engineering requirements of optimal signal-to-noise ratios for seamless voice interactions on wearables. In 2022, I had a two-semester co-op rotation as a User Experience Researcher in the Research and Consumer Insights team at iRobot, the leading global consumer robotics company. 

Before Purdue, I was a PhD student in Operations Research at Georgia Tech, and also a visiting doctoral student researcher in Canfield Lab at Missouri University of Science and Technology. In 2018, I received my Bachelors degree in Industrial and Production Engineering from the University of Ibadan where I graduated top of the university. I have also received a Master of Science in Industrial Engineering from Purdue.

I am very passionate about helping humans trust, accept, and adopt safe technologies. The overarching theme of my research is optimizing the adoption funnel for products, processes, and technologies in different settings through data-driven, human-centered research and insights. As a mixed-methods researcher, I adopt approaches from data science and analytics, qualitative user research methods, human-computer interaction principles, and applied machine learning and statistics.