Lee Lab Publishes in Science Advances

A myriad of inflammatory cytokines regulate signaling pathways to maintain cellular homeostasis. The IkB kinase (IKK) complex is an integration […]

Anne-Ruxandra Carvunis selected as a 2021 Alfred P. Sloan Research Fellow

Congratulations to Anne-Ruxandra Carvunis on being selected as a 2021 Alfred P. Sloan Research Fellow for her work in Computational […]

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Computational Biomedicine & Biotechnology

The Computational Biomedicine and Biotechnology (CoBB) Master of Science trains students in translating cutting-edge computational technologies into real-world advances in biomedicine and biotechnology. Seated in the Department of Computational and Systems Biology, the program focuses on the interface between computer science and applied biology. Our courses are appropriate for students with backgrounds in either biological sciences or quantitative disciplines. Students in the CoBB program will learn to develop and apply novel computational, mathematical, statistical, and in silico techniques to meet current challenges in biotechnology. Our graduates are equipped with the necessary skills for successful biomedical data science careers in the health care and biotechnology industry, government, and academia.