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Biomedical Sciences Division (BioMed)

Decoding Life, Advancing Health

Overview


The Biomedical Sciences (BioMed) division at KAUST brings together world-class science, technology, and education to address today’s most pressing health challenges. Through interdisciplinary research, advanced computational and digital tools, and strong partnerships across the healthcare ecosystem, BioMed connects discovery with real-world impact - supporting national priorities while contributing to global advances in health and disease.

Vision

BioMed will improve health in Saudi Arabia and beyond by harnessing cutting edge science and technology to investigate, educate on, and translate discoveries that make people’s lives better.

Mission

BioMed applies the scientific and technical expertise of KAUST by interdisciplinary collaboration and intersectional partnerships both within and beyond the university, leveraging and boosting the efforts of the health care ecosystem to understand, prevent, and treat disease.

We will encourage, educate, and promote expertise in the study and taming of disease to help engineer a healthier life for all, using knowledge generation with widespread deployment of health-translated advances underpinned by our cutting edge, world class technical expertise.

A Message from the Dean of Biomedical Sciences (BioMed)

Professor Peter J Goadsby FMedSci FRS


BioMed is KAUST's newest division, harnessing the University's world-class science and technology to advance healthcare outcomes in Saudi Arabia and beyond. We apply cutting-edge computational and digital tools to understanding, combating and preventing disease.

BioMed is at the start of an exciting journey. The division offers a collaborative environment where scientific excellence meets a passion for teaching and mentoring a new generation of graduates who will advance health in the 21st century.

Our priorities are those of the Kingdom, our mission aligned with Vision 2030's aspirations for better health. Our graduate programs uniquely integrate biology with engineering and bioinformatics and, our faculty and students strive to be future-ready for the rapidly emerging challenges and opportunities in biomedical science.

BioMed draws on the KAUST ecosystem of outstanding research and technical capabilities, all set against the backdrop of the Red Sea. We are beginning an ambitious journey, and invite those who share our vision of a healthier life for all.

View the Dean’s Biography 

DANESH MORADIGARAVAND

Assistant Professor, Bioscience

Biomedical Sciences

Program Affiliations

Center of Excellence

Research Interests

​Professor Moradigaravand's research is on the evolution and epidemiology of infectious diseases, especially in the context of antimicrobial resistance. He utilises a broad range of genomic, phenomic and machine learning approaches to understand the dissemination of pathogens within and between environmental and clinical settings and to pinpoint genetic factors driving the evolution of pathogens. Moreover, he employs machine learning approaches for predicting bacterial complex phenotypic features, e.g. bacterial growth, antimicrobial resistance, and horizontal gene transfer, from genomic variants
Keyword tag icon
Genomic Epidemiology Molecular Evolution Machine Learning Population Genetics Infectious diseases

Education Profile

  • Research Associate, Wellcome Sanger Institute, Hinxton 2018

  • PhD in Theoretical and Computational Biology, ETH Zurich 2014

  • MSc in Molecular Biology, International Max Planck Research School Goettingen 2011

Publications

  • Danesh Moradigaravand, Sandra Reuter, Veronique Martin, Sharon J Peacock, Julian Parkhill, The dissemination of multidrug-resistant Enterobacter cloacae throughout the UK and Ireland. Nat Microbiol, 2016. 1: p. 16173.

  • Danesh Moradigaravand, Martin Palm, Anne Farewell, Ville Mustonen, Jonas Warringer, Leopold Parts, Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data. PLoS Comput Biol, 2018. 14(12): p. e1006258

  • Danesh Moradigaravand, Veronique Martin, Sharon J Peacock, Julian Parkhill, Evolution and Epidemiology of Multidrug-Resistant Klebsiella pneumoniae in the United Kingdom and Ireland. mBio, 2017. 8(1)

  • Danesh Moradigaravand, Christine J Boinett, Veronique Martin, Sharon J Peacock, Julian Parkhill, Recent independent emergence of multiple multidrug-resistant Serratia marcescens clones within the United Kingdom and Ireland. Genome Res, 2016. 26(8): p. 1101-9.

  • Sam Benkwitz-Bedford, Martin Palm, Talip Yasir Demirtas, Ville Mustonen, Anne Farewell, Jonas Warringer, Leopold Parts, Danesh Moradigaravand, Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes. mSystems, 2021. 6(4): p. e0034621.

Research Areas

  • Computational Bioscience