Heinrich Huber

Investigators > Heinrich Huber, please also see Team Members and Research

Combining mathematical, computational, engineering and biochemistry to understand deregulation of apoptosis and proliferation in human pathologies

 Acting as a hot-spot for interdisciplinary research 

As a systems biologist, I am committed to understand the emergent features of molecular, cellular and tissue systems, i.e. why is the sum more than its parts. I therefore use mathematical, computational and methods from control engineering and combine it with techniques from biochemistry, and molecular and in vivo imaging.

Heinrich HuberHeinrich Huber (*1970) is Adjunct Senior Lecturer. He graduated in technical physics in 1993 and received his PhD in Computational Nuclear Physics in 1995 with destinction. He worked as a research fellow at the Institute for Nuclear Physics in Vienna from 1993 till mid 1997. During this period, he was also a visiting fellow at the universities of Melbourne (Australia) and Pretoria (South Africa). After a summer internship at Mc Kinsey & Co, he joined Siemens Austria in December 1997 where he worked as a systems engineer, project manager and group leader in telecom engineering in Vienna, Budapest and Munich.

In 2004 he was seconded from Siemens to RCSI as a software engineer and project manager in Systems Biology and Bioinformatics. He has been entitled as Senior Research Fellow at RCSI from July 2008 and worked as a SFI PI for Theoretical Systems Biology since 2009.

His research interest focuses on:

  • Theoretical Systems Biology Approaches in Apoptosis and Neuroscience (spatial and temporal analyses of signalling pathways)
  • Systems Tools for Patient stratification and personalised medicine
  • Biophysical approaches to protein structure prediction (Together with CEITEC, Brno, Czech republic)
  • Workflow and data processing systems (e.g. automated microscopy, in collaboration with Siemens)

Teaching: Modelling for Biomedical Researcher (Introductory Course Slides)

Modelling Introduction Part I

Modelling Introduction Part II