Scientific Vita
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Info

Dr.

Stephanie K. Rössler

Project: B01

Academic Education and Scientific Degrees
2004-2006
Ph.D. studies at Albert-Ludwigs-University of Freiburg and Max-Planck Institute of Immunology and Epigenetics, Freiburg (Grade: magna cum laude, supervised by Prof. Dr. R. Grosschedl)
2002-2004
Ph.D. studies at Ludwig-Maximilians-University, Munich (supervised by Prof. Dr. R. Grosschedl)
1997-2002
Diploma studies in Biology with majors in Genetics, Biochemistry, Microbiology and Plant Physiology at Ludwig-Maximilians-University, Munich (Grade: 1.1, excellent)

Professional Career
Since 2013
Junior Research Group Leader, Institute of Pathology (Head: Prof. Dr. P. Schirmacher)
2011-2012
Research Fellow, Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, MD (Dr. Xin Wei Wang)
2011
Maternity leave
2006-2011
Postdoctoral Fellow, Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, MD (Dr. Xin Wei Wang) OTHERS
Address
Institute of Pathology
University of Heidelberg
Im Neuenheimer Feld 224
69120 Heidelberg
Phone
+49/6221/56 35109
eMail
Stephanie.Roessler@med.uni-heidelberg.de
Awards and Appointments
2016
Young Academics Poster Award, German Cancer Consortium (DKTK) 4th Annual Scientific Retreat, Heidelberg
2010
Scholar-in-Training Award of the AACR / Aflac, Incorporated
2009
Fellows Award for Research Excellence (FARE), NIH, Bethesda, MD
2009
Federal Technology Transfer Award for PCT Patent Application
2007
Fellows Award for Research Excellence (FARE), NIH, Bethesda, MD

Others
2016-2017
National Center for Tumor Diseases Heidelberg School of Oncology (NCT HSO) and DKTK School of Oncology Fellowship
2015-2016
Brigitte-Schlieben-Lange Fellowship, Ministry for Research and Technology, Baden-Wuerttemberg
2013-2015
Olympia-Morata-Stipend for female habilitands of the University of Heidelberg
2006-2011
Visiting Fellowship, National Institutes of Health, Bethesda, MD

Patents
Wang XW, Roessler S. Gene Signature for Predicting Solid Tumors Patient Prognosis. US Application No. 14/252,005. Pending