Welcome to the Department of Systems Biology
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The Department of Systems Biology aims to identify the quantitative principles that govern complex interactions across all areas of biology and medicine. Our goal is to develop a conceptual and predictive understanding of the living world, to enable the design and control of biological systems and the advancement of human health and welfare.
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Latest News
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Using AI to Build Future Versions of Vaccines (Marks Lab) Feature
Read more about the exciting work the Marks lab is doing on vaccine preparedness and viral prediction with EVE-VAX
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Antimicrobial Research (Paulsson lab) featured on ABC Australia
The Johan Paulsson led multi-group project, DARTS, a nationwide initiative that develops new precision technology to combat antimicrobial resistance, is featured on this interview with ABC news Australia.
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AI Driven Cell Therapy
Start up co founded by SB Faculty, Allon Klein, featured in recent Forbes Article about AI and its use in targeted therapies.
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Artificial Intelligence, Viruses, and Predictions
The Marks lab work on viral predictions and their creation of the AI tool “EVEscape” is featured explored in this month’s issue of Nature.
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Professor Johan Paulsson to Lead $104 million Federal Project on Antibiotic Resistance
Dr. Paulsson is spear-heading a multi-institute team to develop technology, to improve diagnosis, speed discovery of new antibiotics, and illuminate basic mechanisms of bacterial behavior.
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How a Heart Starts Beating
The Megason Lab’s groundbreaking work on zebrafish and heart cells is featured in this month’s issue of Nature.
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Professor Mike Springer Awarded Ledlie Prize
Dr. Springer was awarded the George Ledlie Prize by Harvard University for his tireless work to create streamlined Covid-19 testing for Harvard and MIT during the pandemic
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Professor Vamsi Mootha wins Lurie Prize
Dr. Mootha won the 2023 Lurie Prize in Biomedical Sciences from the Foundation for the National Institutes of Health (FNIH).
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"How AI Can Help Predict Pancreatic Cancer"
Dr. Chris Sander was recently featured on CBSnews talking about AI and the potential it has to help with early cancer detection.
