The Columbia University Department of Systems Biology brings together researchers specializing in computational biology, experimental biology, and technology development to discover how biological traits emerge from complex molecular networks.
Systems biology and computational biology are becoming increasingly important disciplines in the biological sciences. Through PhD graduate education and postdoctoral training we prepare young scientists to become leaders in this exciting and rapidly growing field.
ProfileDecoding and Targeting RNA with CRISPR
Xuebing Wu, PhD, joined the Department of Systems Biology in the fall of 2018, with a joint appointment in the Department of Medicine’s Cardiology Division. He also is a member of the Herbert Irving Comprehensive Cancer Center at NewYork-Presbyterian/Columbia and the Data Science Institute, and his lab straddles basic science and computational biology. In this faculty Q+A, we learn how the Wu lab is making an impact in novel therapeutics. At the center of Dr. Wu's research interests is understanding the fundamental principles of gene regulation in human cells through integrative genomics approaches.
In the PressA Systems Biology Approach to Target Pancreatic Cancer
Andrea Califano, Dr, chair of the Department of Systems Biology, has been featured in the “Promising Science” column of “Let’s Win! Pancreatic Cancer”. Dr. Califano discusses how systems biology is being used in cancer research in the development of better treatments by precisely targeting proteins called master regulators, instead of mutations. “I’m a systems biologist and we look at things differently than traditional biologists,” he says. “With systems biology we want to take cancer apart and see how it works, and the only way we can do that is by developing accurate computational models of how the cancer cell works.”
AnnouncementBook Offers Intro to Rapidly Growing Field of Topological Data Analysis
The deluge of data in the diverse field of biology comes with it the challenge of extracting meaningful information from large biological data sets. A new book, coauthored by Drs. Raul Rabadan and Andrew J. Blumberg, titled Topological Data Analysis for Genomics and Evolution, introduces central ideas and techniques of topological data analysis and aims to explain in detail a number of specific applications to biology.
ProfileYufeng Shen, PhD: Seeking Discovery of Novel Genetic Variants that Cause Disease
Utilizing new methods, Yufeng Shen answers longstanding questions that impact health. Specifically, Dr. Shen's research has focused on discovering novel genetic variants that cause human diseases. He is developing new computational methods to interpret genome data, identifying genetic causes of human diseases by integrating multiple types of genomic data, and modeling of immune cell populations. Learn more about Dr. Shen and his lab's research in this recent faculty profile.
AnnouncementHighly Cited Researchers
Congratulations to Drs. Raul Rabadan and Xuebing Wu who were recently named a Highly Cited Researcher, according to the 2019 list from the Web of Science Group. Overall, Columbia University ranked 15th on the list of global institutions, with a total of 47 Highly Cited Researchers.
Events and Seminars
April 1, 2020 - 3:00pm
Bonnie Berger, PhD(MIT)
April 22, 2020 - 3:00pm
Billy Li, PhD(Stanford University)