↓Skip to main content
Adrian G. Zucco
Adrian G. Zucco

Adrian G. Zucco

Assistant Professor in Health Complexity

University of Copenhagen

I'm a curious researcher fascinated by t|

  1. Methodologically

    💻🔬 I am exploring how explainable machine learning can be used as a scientific tool to model complexity. Within public health and epidemiology, these tools have potential to help us uncover the complex patterns, mechanisms, and dynamics of diseases emerging from the interplay of biopsychosocial factors.

  2. Academically

    🎓🦠 I have contributed to the fields of bioinformatics, immunology, and infectious diseases (mainly HIV and COVID-19). More recently, I've broadened my focus to investigate how mental health and societal factors interact with and affects us.

  3. Personally

    🤔💡 I am committed to challenging limiting assumptions within statistics and biomedical research. I do this by integrating insights from diverse fields such as philosophy, cognitive and contemplative science, causal inference, artificial intelligence, and complexity science.

  4. Socially

    🔓📢 I advocate for open-source and reproducible research. I also actively explore innovative formats for scientific communication and education, aiming to make complex knowledge accessible to the public.
Interests
  • Explainable Machine Learning
  • Public Health
  • Complex Systems
  • Immunology
  • Cognitive Science
  • Philosophy
Education

  • PhD in Biostatistics and Bioinformatics

    University of Copenhagen

  • MSc in Bioinformatics and Systems Biology

    Technical University of Denmark

  • BSc in Biochemistry

    Autonomous University of Madrid

Featured Publications

View all

Defining the landscape of sleep problems in young adults using machine learning on nationwide register data from 2 million individuals

Adrian G. Zucco, Jeroen F. Uleman, Henning Johannes Drews, Naja Hulvej Rod
NordicEpi 2024
Defining the landscape of sleep problems in young adults using machine learning on nationwide register data from 2 million individuals

Associations of Functional Human Leucocyte Antigen Class I Groups with HIV Viral Load in a Heterogeneous Cohort

Zucco, Adrian G., Bennedbæk, Marc, Ekenberg, Christina, Gabrielaite, Migle, Leung, Preston, Polizzotto, Mark N., Kan, Virginia, Murray, Daniel D., Lundgren, Jens D., MacPherson, Cameron R.
AIDS
Associations of Functional Human Leucocyte Antigen Class I Groups with HIV Viral Load in a Heterogeneous Cohort

Explainable Machine Learning for Precision Medicine of Patients with Infectious Diseases

Zucco, Adrian G.
University of Copenhagen
Explainable Machine Learning for Precision Medicine of Patients with Infectious Diseases

Personalized Survival Probabilities for SARS-CoV-2 Positive Patients by Explainable Machine Learning

Zucco, Adrian G., Agius, Rudi, Svanberg, Rebecka, Moestrup, Kasper S., Marandi, Ramtin Z., MacPherson, Cameron Ross, Lundgren, Jens, Ostrowski, Sisse R., Niemann, Carsten U.
Scientific Reports
Personalized Survival Probabilities for SARS-CoV-2 Positive Patients by Explainable Machine Learning

Teaching

View all

Introduction to Complex Systems Approaches in Public Health ↗ ↖

Compexity Data Science Public Health
PhD course to be held in May 2025. The course places great emphasis on the practical application of the Health Complexity Framework, which serves as a fundamental tool for conducting complexity research in the field of public health. Lecturer on pattern recognition in epidemiology and public health.
Introduction to Complex Systems Approaches in Public Health

Evidence Based Clinical Application of Personalised Medicine ↗ ↖

Precision Medicine MAI
Guest lecturer in medical Artificial Intelligence and Real-World Evidence sessions since 2022. Course held in fall under the Master in Precision Medicine at the University of Copenhagen.
Evidence Based Clinical Application of Personalised Medicine

Data Doctors ↗ ↖

Data Science MAI
Founder of a decentralized community for learning Data Science among medical practictioners at Righospitalet. I created multiple open-access workshops to teach the basics of Data Science in R.
Data Doctors