Atul Butte discusses the divide between bioinformatics and the clinic
Affiliation:
1. Department of Gynecology and Obstetrics, University of Duisburg-Essen, Hufelandstrasse 55, D-45122 Essen, Germany;2. Institute of Pathology, University of Duisburg-Essen, Germany;3. Department of Gynecology and Obstetrics, University of Tuebingen, Germany
Abstract:
Atul Butte is an Assistant in Endocrinology and Informatics and Attending Physician at Children's Hospital, Boston, USA (http://www.chip.org), and is an Instructor in Paediatrics at Harvard Medical School (http://www.harvard.edu). He received his undergraduate degree in Computer Science from Brown University in 1991, and worked in several stints as a software engineer at Apple Computer and Microsoft Corporation. He graduated from the Brown University School of Medicine in 1995, during which he worked as a research fellow at National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK; http://www.niddk.nih.gov) through the Howard Hughes/NIH Research Scholars Program. He completed his residency in Paediatrics and Fellowship in Paediatric Endocrinology in 2001, both at Children's Hospital. During his research under Isaac Kohane (at Children's Hospital) he developed a novel methodology for analyzing large data sets of RNA expression, called Relevance Networks. His recent awards include the 2003 Emory University School of Medicine, Pathology Residents’ Choice Award, 2002 American Association for Clinical Chemistry Outstanding Speaker Award, 2002 Endocrine Society Travel Award based on presentation merit, 2001 American Association for Cancer Research Scholar-In-Training Award and the 2001 Lawson Wilkins Paediatric Endocrine Society Clinical Scholar Award.
