I am a Bioinformatician and Medical Informatician specializing in infectious diseases, working across the full spectrum of research data — from pathogen sequencing and gut microbiome analysis to patient-level data collection, advanced analytics, visualization, and evidence synthesis through living, human-in-the-loop systematic reviews and meta-analyses. My work is highly transversal, involving close collaboration between clinical experts, statisticians, and data experts. Currently, I work as an Adjunct Professor in the Department of Biomedical Engineering at Wrocław University of Science and Technology.

I am currently involved in the EU-funded CoMeCT project.

I'm passionate about teaching, and a member of the Programme Committee for the Medical Informatics engineering programme at Politechnika Wrocławska. Teaching →

I'm also passionate about scientific data visualization, to facilitate effective communication in interdisciplinary teams.

Since 2021 I have chaired the ORCHESTRA WP2 Working Group on Post-COVID Condition, coordinating large-scale data analyses across European cohorts. In 2024 I joined the Post-Acute Infection Syndrome (PAIS) Working Group of the Cohort Coordination Board (CCB), and in 2025 became Co-Chair of the CCB Artificial Intelligence Working Group.

On this website I present a number of tools covering the automation of systematic review and meta-analysis, as well as the Tag Minder for the ontology behind our datasets. Tools →

Beyond the public tools, this website also hosts a number of hidden, password-protected sections — observatories, minders, and dashboards used internally for ongoing research projects and collaborations. If you are interested in collaborating and would like access to these sections, please get in touch at anna.gorska@pwr.edu.pl.

My research combines methods from bioinformatics, epidemiology, and biostatistics to turn heterogeneous, multi-cohort data into actionable evidence:

• Living systematic reviews and meta-analyses — human-in-the-loop pipelines that continuously screen, extract, and synthesize evidence as new literature is published.
• Longitudinal and latent variable modelling — including latent class and latent transition analyses to characterize the trajectories of post-acute infection syndromes.
• Pathogen sequencing and gut microbiome analysis — bioinformatics pipelines for processing and interpreting high-throughput sequencing data.
• Multi-cohort data harmonization — standardized ontologies and tagging systems to enable comparable, pooled analyses across European cohorts.
• Scientific data visualization — interactive dashboards and observatories designed to communicate complex analytic results across interdisciplinary teams.