About Me

I am a Postdoctoral Associate at Professor Hongyu Zhao’s lab, Department of Biostatistics, Yale University. I earned my Ph.D. in Statistics under the advisory of Professor Ming-Hui Chen at the University of Connecticut in 2022.

Education

• Ph.D. in Statistics, 2017 – 2022, University of Connecticut.
• M.S. in Applied Statistics, 2014, University of Dhaka.
• B.S. in Applied Statistics, 2013, University of Dhaka.

Research Interests

• Competing risks and semicompeting risks survival data analysis, longitudinal data analysis, joint modeling of longitudinal and survival data, and cure rate model.
• Bayesian inference, Bayesian computation, model assessment tools, leveraging external data, and interim analysis in clinical trials.
• UK Biobank, All of Us, electronic health records, cancer disease, type 2 diabetes, statistical genomics, microbiome data for premature babies and inflammatory bowel disease.

Recent Developments/News

• Received the “Doctoral Dissertation Fellowship” at the University of Connecticut, Summer 2022.
• Presented our paper titled “New Bayesian C-indices for Assessing Importance of Longitudinal Biomarkers in Fitting Competing Risks Survival Data in the Presence of Partially Masked Causes” at the ENAR 2022.
• Recieved the prestigious “IBM Student Research Award” at the New England Statistics Symposium, Sep 28 - Oct 2, 2021.
• Recieved the prestigious “ISBA 2022 Travel Award”, awarded by the International Society for Bayesian Analysis.
• Conducted a workshop on “Introduction to R” at the UConn Sports Analytics Symposium 2021 on Oct 9, 2021.
• Our recent research works focus on the theoretical innovation of Bayesian joint model for longitudinal and competing risks survival data.
• Worked on the “EnergyStats” project, where we developed an RShiny dashboard with the real-time energy and utility data at UConn. [Note: the link works under the UConn VPN at this moment.]