Michael Primig PhD in biology

Course and current status

Birth Place & Date: Graz, 08/09/1964

Nationality & Marital status: Austrian/French; married, four children, two grandchildren



1983-1988: Undergraduate, with distinction, University of Vienna, Austria

1988: MS, Institute of Molecular Biology, Austrian Academy of Sciences, Salzburg, Austria

1988-1992: PhD in Molecular Biology, with distinction, Institute of Molecular Pathology, Vienna, Austria


Professional experience

1993-1997: Postdoctoral Fellow, Pasteur Institute, Paris, France

1997-1999: Research Associate/Instructor, The University of Chicago, Chicago, USA

1999-2001: Research Associate, Institute of Human Genetics, Montpellier, France

2001-2007: Assistant Professor & director of the Life Sciences Training Facility, Biozentrum and Swiss Institute of Bioinformatics, Basel, Switzerland

Since 02/2007: Inserm DR2, Inserm U1085 IRSET, Rennes, France


Honors and Awards

1993-1995             EMBO long-term fellowship (Europe)

1995-1996             Erwin Schrödinger fellowship (Austria)

1996-1997             AFM fellowship (France)

1997-1998             Max Kade fellowship (US/Austria)

2000-2001             FRM fellowship (France)

2002-2007             Swiss Institute of Bioinformatics membership (Switzerland)

2008-2012             Inserm Avenir project of excellence (France)

2011-2014             Prime d'excellence scientifique (France)

2014-2020             Editorial Board Member of Systems Biology in Reproductive Medicine

2018-2020             Editorial Board Member of NPGs Scientific Reports 

Scientific summary

Our somatic cancer-related work focusses on the questions if altered EXOSC10/Rrp6-dependent RNA processing and degradation in cancer cells mediates drug resistance, which Cancer/Testis genes are most useful for immunotherapyand which drug-responsive lncRNAs are important for cancer cell division.

In the field of meiosis and gametogenesis we carry out basic research using rat, mouse, budding yeast and human samples, which aims at a better understanding of the regulatory mechanisms that underlie progression through the pathway. This work ultimately helps identify genetic causes for male infertility

In the field of bioinformatics we have provided the community with databases and analysis tools

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