News from the group:
Research Exchange Fellowships - IAESTE (apply)
CAMDA 2023 - ISMB Conference Track, 26-27 July, Lyon, France (read more)
World-leading patient stratification - graph based cancer data integration (read more)
Confirming molecular mechanisms of tendon regeneration - a powerful ovine fetal model (read more)
CAMDA 2022
ISMB Conference Track,
11-12 July, Madison, USA
(read more)
NVIDIA GTC Best Poster Award
for MM Kańduła
at GTC'18
Outstanding Presentation Prize
for MM Kańduła
at CAMDA'17
Outstanding Presentation Prize
for PP Łabaj
at CAMDA'15 (photo)
Austrian Marshall Plan Foundation scholarship
for MM Kańduła
at Boston University
OeAW APART fellowship
for PP Łabaj
(photo)
Sequencing Quality Control (SEQC) project,
MAQC Consortium 2011–2014 (read more)
Host–parasite interactions in biocontrol, WWTF grant 2010–2013 (read more)
Power and limitations of RNA-Seq,
FDA SEQC, Nature Biotechnology (read more)
Characterization and improvement of RNA-Seq precision,
Bioinformatics (read more)
Impact of heavy tails in microarray analysis, Bioinformatics (read more)
Novel conserved repeats in sorting signals,
FEBS Journal (read more)
Sound sensation gene,
Nature communications
(read more)
RNA interference in ageing research,
Gerontology (read more)

Peter Sykacek, Ph.D.

Analytical Methods Development (external since 2015)

e-mail
+43 1 47654 79165

Interests: Probabilistic modelling using approximations from statistical Physics or Monte Carlo methods. Optimal combination of multi sensor data and background information. Data analysis in the Life Sciences

Background: PhD at ÖFAI Vienna on probabilistic modelling of sleep EEG. Postdoc in the Pattern Analysis and Machine Learning Research Group, University of Oxford on probabilistic models for Brain Computer Interface research. Senior postdoc at the Departments of Genetics and Pathology of Cambridge University with responsibilities for probabilistic modelling and statistical analysis of microarray data.

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