Derényi Imre

Derényi Imre

egyetemi tanár

PhD (Eötvös Loránd Tudományegyetem, Budapest, 1997)

Habilitáció (Eötvös Loránd Tudományegyetem, Budapest, 2005)

Az MTA levelező tagja (2022)

Biológiai Fizika Tanszék

Szoba: Északi tömb 3.78
Mellék: +36-1-372-2500 / 6366
Honlap: derenyi.web.elte.hu
Emailcím: uh.etle@iynered

Biográfia:

Education:
  • 2007: PhD in Physics, Eötvös University, Hungary
  • 1994: MSc in Physics, Eötvös University, Hungary
Current Positions:
  • 2012-present: Professor, Dept. of Biological Physics, Eötvös University, Hungary
Previous Positions:
  • 2017-2022: Head of the MTA-ELTE Statistical and Biological Physics Research Group, Hungarian Academy of Sciences, Hungary
  • 2007-2012: Associate Professor, Dept. of Biological Physics, Eötvös University, Hungary
  • 2002-2007: Assistant Professor, Dept. of Biological Physics, Eötvös University, Hungary
  • 2000-2002: Marie Curie Research Fellow, Institut Curie, France
  • 2000: Research Fellow, Collegium Budapest, Hungary
  • 1997-1999: Research Associate, University of Chicago, USA
Awards and Fellowships:
  • 2019: Academy Award of the Hungarian Academy of Sciences
  • 2006: Burgen Fellowship of the Academia Europaea
  • 2006: Physics Award of the Hungarian Academy of Sciences
  • 2005--2008: János Bolyai Research Fellowship
  • 2003: Imre Bródy Award of the Eötvös Physical Society
  • 2002--2005: Békésy Post-doc Fellowship
  • 2000--2002: Marie Curie Individual Fellowship
Research Interest:
  • Evolutionary Theories (somatic evolution, cancer development)
  • Membrane Dynamics (shape changes of lipid vesicles)
  • Protein Dynamics (molecular motors, molecular adhesion)
  • Complex Networks

Tudományos adatbázisok profiloldalai:

Az utolsó 5 év válogatott közleményei:

  1. A compartment size-dependent selective threshold limits mutation accumulation in hierarchical tissues; Proc. Natl. Acad. Sci. U.S.A. 117, 1606-1611, (2020). DOI
  2. Trade-off between reducing mutational accumulation and increasing commitment to differentiation determines tissue organization; Nature Communications 13, 1666 (2022). DOI

  3. Distinguishing excess mutations and increased cell death based on variant allele frequencies; PLoS Comput Biol, 18, e1010048 (2022). DOI

  4. How mutation accumulation depends on the structure of the cell lineage tree; Phys. Rev. E 109, 044407 (2024). DOI