World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
13645
World Ranking
9050
National Ranking
167

Overview

Marcel Salathé is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans several interdisciplinary fields, primarily focusing on social sciences, computer science, and medicine. Within these domains, they have contributed notably to subfields such as sociology and political science, artificial intelligence, information systems, public health, environmental and occupational health, and epidemiology.

Their research covers diverse topics, including misinformation and its impacts, COVID-19 digital contact tracing, data-driven disease surveillance, nutritional studies and diet, COVID-19 epidemiological studies, privacy, security, and data protection, as well as privacy-preserving technologies in data.

Frequently collaborating with other researchers, Marcel Salathé has coauthored several works with Martin Müller, Carmela Troncoso, Wouter Lueks, Francesco Durazzi, and Daniel Remondini. Publications authored or coauthored by them have appeared in various scientific venues, with frequent contributions to bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Frontiers in Artificial Intelligence, and Scientific Reports.

Notable recent papers include:

  • COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter, 2023, Frontiers in Artificial Intelligence
  • Decentralized Privacy-Preserving Proximity Tracing, 2020, arXiv (Cornell University)
  • Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland, 2020, Swiss Medical Weekly
  • Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter, 2022, Zenodo (CERN European Organization for Nuclear Research)
  • COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter, 2020, arXiv (Cornell University)

Best Publications

  • Using Deep Learning for Image-Based Plant Disease Detection

    Sharada Prasanna Mohanty;David Peter Hughes;Marcel Salathe

  • Statistical physics of vaccination

    Zhen Wang;Zhen Wang;Chris T. Bauch;Samit Bhattacharyya;Alberto d'Onofrio

  • An open access repository of images on plant health to enable the development of mobile disease diagnostics

    David. P. Hughes;Marcel Salathe

  • A high-resolution human contact network for infectious disease transmission

    Marcel Salathé;Maria Kazandjieva;Jung Woo Lee;Philip Levis

  • Dynamics and Control of Diseases in Networks with Community Structure

    Marcel Salathé;James H. Jones

  • Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control

    Marcel Salathé;Shashank Khandelwal

  • Ethical challenges of big data in public health.

    Effy Vayena;Marcel Salathé;Lawrence C. Madoff;John S. Brownstein

  • The effect of opinion clustering on disease outbreaks

    Marcel Salathé;Sebastian Bonhoeffer

  • Digital epidemiology: what is it, and where is it going?

    Marcel Salathé

  • Decentralized Privacy-Preserving Proximity Tracing

    Carmela Troncoso;Mathias Payer;Jean-Pierre Hubaux;Marcel Salathé

  • COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

    Martin Müller;Marcel Salathé;Per Egil Kummervold

  • Influenza A (H7N9) and the Importance of Digital Epidemiology

    Marcel Salathé;Clark C. Freifeld;Sumiko R. Mekaru;Anna F. Tomasulo

  • COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter

    Unknown

  • An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing

    David P. Hughes;Marcel Salathé

  • Decentralized Privacy-Preserving Proximity Tracing

    Carmela Troncoso;Mathias Payer;Jean-Pierre Hubaux;Marcel Salathé

  • The dynamics of health behavior sentiments on a large online social network

    Marcel Salathé;Duy Quang Vu;Shashank Khandelwal;David R. Hunter

  • An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

    Suppawong Tuarob;Conrad S. Tucker;Marcel Salathe;Nilam Ram

  • Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland

    Marcel Salathé;Christian L Althaus;Nanina Anderegg;Daniele Antonioli

  • Deep Learning for Understanding Satellite Imagery: An Experimental Survey.

    Sharada Prasanna Mohanty;Jakub Czakon;Kamil A Kaczmarek;Andrzej Pyskir

  • Digital proximity tracing on empirical contact networks for pandemic control.

    Giulia Cencetti;Gabriele Santin;Antonio Longa;Antonio Longa;Emanuele Pigani;Emanuele Pigani

  • Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.

    Marcel Salathé

Frequent Co-Authors

Ciro Cattuto
Ciro Cattuto University of Turin
Effy Vayena
Effy Vayena ETH Zurich
Alain Barrat
Alain Barrat Centre de Physique Théorique
Nilam Ram
Nilam Ram Stanford University
Roger D. Kouyos
Roger D. Kouyos University of Zurich
James R. Larus
James R. Larus École Polytechnique Fédérale de Lausanne
Sergey Levine
Sergey Levine University of California, Berkeley
Srdjan Capkun
Srdjan Capkun ETH Zurich
Rui Oliveira
Rui Oliveira University of Minho

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to many related fields. Online degrees in allied disciplines are growing in demand, offering students flexibility and affordability. For those interested in engineering, the mechanical engineering degree online cost is a major consideration, with many universities now providing low-cost yet high-quality options.

Physics is another popular pathway, and gaining an online theoretical physics degree can be an excellent choice for students drawn to the analytical side of computing. Likewise, data science remains crucial in today’s tech job market. Compare schools offering data science degrees to find affordable, accredited online programs tailored to emerging industry needs.

Additionally, if you're considering advanced study, look into an online master’s in electrical engineering degree for expanded career opportunities in both computing and engineering sectors. By choosing the right online degree, you can forge a career path that aligns perfectly with your skills and ambitions.

Best Scientists Citing Marcel Salathé

Trending Scientists