Megan Sykes

Megan Sykes is Director, Columbia Center for Translational Immunology, Columbia University College of Physicians and Surgeons. She joined Columbia University in April 2010 after spending 20 years at Massachusetts General Hospital/Harvard Medical School, where she was the Harold and Ellen Danser Professor of Surgery and Professor of Medicine (Immunology) and Associate Director of the Transplantation Biology Research Center. Megan’s research career, during which she has published 420 papers and book chapters, has been in the areas of hematopoietic stem cell transplant (or stem cell transplant), achievement of graft-versus-leukemia effects without graft-versus-host disease, organ allograft tolerance induction, and xenotransplantation. Megan has developed novel strategies for achieving graft-versus-tumor effects without graft-versus-host disease following hematopoietic stem cell transplant. She received her medical degree from the University of Toronto.

Privacy Preference Center


The NID and IDE cookies are set by DoubleClick (which is owned by Google) to help build a profile of your interests and show you relevant ads on other sites. The 1P_JAR cookie (from carries out information about how the end user uses the website and any advertising that the end user may have seen before visiting the said website.



Magenta TX uses these cookies to collect information about how visitors use our Site. We use the information to compile reports and to help us improve the Site. The cookies collect information in an anonymous form, including the number of visitors to the Site, where visitors have come to the Site from and the pages they visited. If you do not allow these cookies we will not be able to include your visit in our statistics. You can read the full Google Analytics privacy policy at:

_ga,_gat,_gid, _gali



The OGPC cookie enables the functionality of Google Maps. s_cc Adobe Site Catalyst cookie, determines whether cookies are enabled in the browser. The s_sq and s_vi, Adobe Site Catalyst cookie, stores information about the previous link clicked within the site as well as identify unique visitors, with an ID and timestamp.

OGPC, s_cc, s_sq, s_vi