About me

I am a lecturer at the Department of Statistics at Stockholm University, where I teach statistics to both undergraduates and master level students.

I completed my doctorate in statistics at Uppsala University in the fall of 2025. The main focus of my thesis is compromise estimation, which concerns weighted averages (or model averages) such as \(\bar \mu = \sum_k w_k \hat \mu_k,\) where \(w_k\) are model specific weights and \(\hat \mu_k\) are candidate estimates of \(\mu\), some quantity of interest.

I have a frequentist background, but I like working with Bayesian theory as much as I can. In particular, I enjoy working in the intersection of frequentism and Bayesianism, looking to establish connections and give frequentist motivations of Bayesian methods.

Feel free to get in touch by sending an e-mail to firstname.surname@yahoo.com.

Works in progress

• Frequentist Model Averaging of Generalized Linear Models with Penalization, with Shaobo Jin.
• Can Model Averaging Always Improve Propensity Score Bases Estimation of Average Treatment Effects?, with Shaobo Jin. [Working paper]
• Frequentist Oracle Properties of Bayesian Stacking Estimators, with Shaobo Jin and Måns Magnusson. Submitted [arXiv preprint].
• Gradient Based Estimation of Candidate Approximations for Frequentist Model Averaging (working title), with Wendun Wang.