Newly Tenured Systems Biology Faculty
Congratulations to Drs. Yufeng Shen, Nicholas Tatonetti, and Chaolin Zhang of the Department of Systems Biology, who have been awarded tenure and promoted to associate professor. Their new appointments are effective July 1, 2019.
Columbia Highlights MD/PhD Student Research
Congratulations to Phyllis Thangaraj, an MD/PhD student in the Nicholas Tatonetti lab, for her winning poster session at an event recognizing aspiring physician-scientists from the Vagelos College of Physicians and Surgeons. Students in the MD/PhD program training program at Columbia University Irving Medical Center presented their research posters at the 14th annual Student Research Symposium on April 25, and topics included a wide range, such as Alzheimer’s disease, stroke, and stem cells. Thangaraj discussed ongoing research in applying machine learning methods to phenotype acute ischemic stroke patients in electronic health records.
Electronic Health Record Analysis Shows Which Diseases Run in Families
Findings from a new study by researchers at Columbia University Irving Medical Center and NewYork-Presbyterian could streamline efforts to understand and mitigate disease risk—especially for diseases with no known disease-associated genes. The study, published by Cell, was co-led by Systems Biology’s Nicholas Tatonetti, PhD, and David Vawdrey, PhD, of Biomedical Informatics.
From Code to Cure
The cover story of Columbia Magazine's Spring 2018 issue spotlights how Columbia University researchers, including Systems Biology faculty Andrea Califano, Dr, and Nicholas Tatonetti, PhD, are rewriting the rules of medical research in the age of data science. This new era also is providing opportunities to study the world in entirely new ways. Nowhere is this more evident than in medicine.
Tatonetti Named Director of Clinical Informatics at Institute for Genomic Medicine
As director of clinical informatics at Columbia's Institute for Genomic Medicine, Dr. Nicholas Tatonetti leads the organizing, directing and evaluating of all clinical informatics efforts across the Institute, with particular attention on the integration of electronic health record data for use in genetics and genomics studies.