Biological and Life Sciences Division - MBZUAI Biological and Life Sciences Division

Pioneering the Future of AI-Driven Public Health

A world-leading division advancing computational biology, personalized medicine, and AI to transform healthcare and shape equitable, responsible global policy.

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Dean's Message

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The Division of Biological and Life Sciences at MBZUAI sits at the intersection of biology, population health, and AI.

Across the division, faculty lead efforts to model complex biological systems, uncover the genetic and epidemiological drivers of disease, and harness data at scale for clinical and public health impact. 
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Flagship initiatives such as the Human Phenotype Project and the Emirati Genome Program provide rich multi-omic and population datasets that drive breakthroughs in biomarker discovery, disease prediction, epidemic modeling, and next-generation precision medicine.

Through an integrated ecosystem spanning molecules, individuals, and populations, we aim to advance data-driven healthcare, strengthen public health systems, and prepare the next generation of scientists and innovators to lead transformative change in global health.

Prof. Eran Segal
Acting Dean of SDPH
Professor of Computational Biology
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Led by World-Class Faculty

Our Faculty
Natasa Przulj

Natasa Przulj

Professor of Computational Biology

“The Division of Biological and Life Sciences positions the UAE as a leader in precision medicine by harnessing data from initiatives such as the Emirati Genome Project. Its work advances patient stratification, biomarker discovery, and targeted therapeutics. Students contribute to a rapidly evolving field with wide societal impact as the UAE drives global progress in digital public health."

Yulia Medvedeva

Yulia Medvedeva

Assistant Professor of Computational Biology

“The Division of Biological and Life Sciences is advancing proactive, AI-enabled disease prevention. Research in genomics and single-cell transcriptomics of type 2 diabetes informs approaches to slow age-related conditions. The program equips students with AI and data-science tools to translate biological data into predictive health solutions for longer, healthier lives.”

Aziz Khan

Aziz Khan

Assistant Professor

“The Division of Biological and Life Sciences integrates multi-omics, data science, and AI to advance precision medicine. Using resources such as the Emirati Genome Program, the school develops scalable AI tools to uncover biomarkers and disease mechanisms. Students gain practical experience in computational biology to support more proactive and personalized healthcare in the UAE and beyond.”

Eduardo da Veiga Beltrame

Eduardo da Veiga Beltrame

Assistant Professor of Computational Biology

“The Division of Biological and Life Sciences advances large-scale innovation through new programs, strong faculty, and wide-ranging research partnerships. With resources such as the Emirati Genome Program and collaborations across leading UAE institutions, students engage in a collaborative environment designed for impactful, cross-disciplinary research.”

Carlos D. Bustamante

Carlos D. Bustamante

Adjunct Professor of Precision Medicine

“MBZUAI’s Division of Biological and Life Sciences is designed to transform therapy development, healthcare delivery, and public health through AI and large genome–phenome resources. Its work supports disease prediction, targeted treatments, and healthier lives. Students will learn to build the digital systems that enable early detection, personalized care, and data-driven public health worldwide.”

Division News

Driving Projects

The Human Phenotype Project (HPP)
The Emirati Genome Project (EGP)
Foundation Models for Precision Medicine

The Human Phenotype
Project (HPP)

Combining molecular, clinical, and environmental profiling at scale to power the future of predictive, personalized healthcare

80,000
+
Citations
Scaling to
100,000
+
Participants around the globe
115
h-index
21
+
High-impact publications

The Emirati Genome Project (EGP)

Turning population-scale genome analysis into better screening, earlier diagnosis, and safer care.

The world's largest genomic database
800,000
+
DNA samples sequenced
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Foundation Models for Precision Medicine

Developing multimodal health AI for predicting outcomes, 
generating clinical insights, and modeling the human digital twin.

HealthFormer
Holistic digital representation of individual health
GluFormer
Analyzes glucose patterns to predict diabetes risk
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Research Themes

Systems Biology and Molecular Medicine
Precision Medicine and Population Genomics
Al Foundation Models for Health
Microbiome and Environmental Health Genomics
Epidemic Intelligence and Global Health
Open Infrastructure and Computational Platforms
Systems Biology and Molecular Medicine
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Decode disease mechanisms through multi-omic integration, single-cell, cancer and epigenomics, and regulatory networks. Map molecular pathways from genes to proteins to discover and develop novel therapeutics and diagnostics, including first-in-class drugs.

Precision Medicine and Population Genomics
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Leverage large-scale genomic datasets like the HPP and EGP to predict disease risk, optimize treatments, and deliver personalized healthcare tailored to individual genetic profiles and disease susceptibilities.

Al Foundation Models for Health
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Build next-generation Al systems for medical imaging, diagnostics, and clinical decision support. Deploy foundation models that transform healthcare delivery through intelligent, interpretable automation.

Microbiome and Environmental Health Genomics

Harness metagenomics to decode host-microbiome interactions, environmental exposures, and their roles in disease. Bridge microbial ecology with human health to uncover novel therapeutic avenues and public health insights.

Epidemic Intelligence and Global Health
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Apply Al-driven modeling to predict outbreaks, guide interventions, and strengthen public health systems. Address pandemic preparedness, health equity, and sustainable healthcare worldwide.

Open Infrastructure and Computational Platforms
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Develop open-source tools, scalable data ecosystems, and federated networks that democratize access to cutting-edge computational resources and accelerate collaborative discovery.

Join Our Faculty

We’re looking for researchers, educators, and innovators who share our mission to transform global health through AI and data science

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