I’m a second-year PhD student in Computer Science at the University of Illinois Chicago, working at the Electronic Visualization Laboratory (EVL).

I’m broadly interested in how we perceive, interact with, and make sense of all the information around us. Right now, that means looking at how people reason with data and statistics: how they form and refine interpretations as they explore data, how statistical evidence and uncertainty can help them evaluate those interpretations, and how interactive tools can support this process. I’m also interested in the role of LLMs in data analysis and visualization, including the possibilities they open up and the challenges they introduce. My work involves both developing interactive tools and studying how people use them to reason about data.

Before UIC, I was a Machine Learning Engineer at ACI Limited in Bangladesh, where I built computer vision systems for retail and industrial applications, including crowd analytics for Bangladesh’s largest retail chain. I also explored 3D Gaussian Splatting for dense 3D reconstruction. During my undergrad, I did research on interpretable and efficient models for medical image classification. Along the way, I enjoyed competitive programming (ranked Expert on Codeforces), won Robi Datathon 3.0 (the premier data science competition in Bangladesh, with 1,000+ participants), and placed in several other ML competitions.