I am a final-year doctoral candidate in the Faculty of Business and Economics at Technical University of Dortmund (TU Dortmund) under the supervision of Professor Carsten Jentsch. My dissertation, titled Parametric and Nonparametric Learners for Adaptive Experiments, has been submitted and is currently under review, with expected completion by mid-2026. Previously, I worked at the Department of Economics, East West University, Bangladesh as a Lecturer (January – September 2025), where I taught undergraduate statistics courses for business and economics students. Before that, from 2018 to 2022, as a doctoral student I worked as a research associate (Wissenschaftlicher Mitarbeiter) in the Department of Statistics at TU Dortmund (alumni page), where I served as a teaching assistant and course instructor for graduate-level courses in econometrics, statistics, and data science. I gratefully acknowledge all their support and guidance during this period.

I obtained an M.Sc. in Economics from the University of Mannheim, Germany and a Bachelor’s degree in Business Administration with a second major in Economics from BRAC University, Bangladesh. After finishing my Bachelor’s I worked as a project assistant at Innovations for Poverty Action (IPA) in Bangladesh, on a project titled Building management hierarchies for growth in LICs: understanding the role of supervisor training in the Bangladeshi garment sector, led by Professor Christopher Woodruff (Oxford), Professor Rocco Macchiavello (LSE), and Professor Atonu Rabbani (Dhaka University) as Principal Investigators.

My research interests lie at the intersection of Causal Inference, Econometrics, and Machine Learning. In my dissertation, I focus on adaptive experiments (a.k.a. bandit algorithms), from both theoretical and applied perspectives.

I am passionate about teaching statistics, econometrics, and programming. I love coding and theories related to different topics, and I want my students to love them too — but that doesn’t always happen. You can find my CV here and some of my past teaching materials here.