Selected Publications

. Optimal Weighting for Estimating Generalized Average Treatment Effects. Journal of Causal Inference, 2022.

PDF arXiv

. Prevention of Covid-19 with the BNT162b2 and mRNA-1273 Vaccines. The New England Journal of Medicine, 2021.


. Deep survival analysis with longitudinal X-rays for COVID-19. ICCV21, 2021.

PDF arXiv

. CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning. Accepted at NeurIPS 2018 Workshop on Causal Learning and ICML 2019, 2019.

PDF arXiv

. Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models. In Statistics in Medicine, 2018.

PDF Statistics in Medicine

Papers in Preparation

More Publications


COVID-19: Prevention and treatment

The goal of this project is to understand the distribution, treatment and effects of COVID-19, particularly on underserved populations, ultimately improving public health.

Novel statistical methods for the optimal use of real-world patient data to improve clinical decision-making

The goal of this project is to developed novel biostatistical methods that optimally leverage trials’ results and data from electronic medical registries which is more representative of real-world clinical practice.

Optimal care for patients undergoing surgical interventions

The goal of this project is to provide best practices for treatment care and management of patients who underwent surgical interventions.

Understanding and predicting the risk of bleeding disorders

The goal of this project is to understand and predict the risk of bleeding disorders.

HIV: epidemiology, optimal treatments and interventions in the international setting

The goal of this project is to investigate best practices and implementations of antiretroviral therapy for people who live with HIV.

Optimal public health policies in vulnerable populations worldwide

The goal of this project was to investigate factors related to specific behaviors and evaluate the impact of public health policies to reduce risk behaviors in vulnerable populations.

Past & Upcoming Events

More Talks

2022 IMS International Conference on Statistics and Data Science (ICSDS)
Dec 15, 2022 4:30 PM
NYU Langone Health - Department of Population Health Seminar Series
Sep 29, 2021 12:00 PM
JSM 21
Aug 9, 2021 11:20 AM


Fall 2022:

Spring 2023:

  • Statistical Inference; PhD-level class; Details TBD

I have been a teaching assistant for the following courses for the Doctoral Program in Epidemiology and the Research School for Clinical Epidemiology at Karolinska Institutet:

  • BIO1: Biostatistics I - Introduction for epidemiologists
  • BIO2: Biostatistics II - Logistic regression for epidemiologists


Other Interests

When I am not reading about biostatistics and data science, I like to learn more about contemporary history. I also enjoy keeping myself active by playing sports and going to the gym. I love to play and listen to music, especially electronic and film music. During the past few years I started several electronic music projects that included production using Ableton Live. Last but not least, I love to play, cuddle and spoil my fluffy dog Mister Pom Princess ``PK” Cake.

Princess Cake