Expertise
We have developed and validated algorithms for the effective integration of multiple genome-scale data that go beyond consensus signals
Autor
D Kreil
Research
Boku University Vienna - IMBT Bioinformatics Research
Wien, Österreich
We study complex systems in living organisms, establishing modern Machine Learning / AI methods going beyond the classic gene by gene approaches.
Meine Organisation
Boku University Vienna - IMBT Bioinformatics Research
Boku University Vienna - IMBT Bioinformatics Research
Universität/Fachhochschule
Wien, Wien, Österreich
Universität für Bodenkultur Wien:
A Federal University of Austria in Vienna
A Technical University with a focus on the Life Sciences
Institute of Molecular Biotechnology (IMBT) - Bioinformatics Research:
We are interested in the study of complex systems with a focus on the Life Sciences.
We have decades of experience in complex assay establishment and benchmarking in collaboration with the US FDA.
We apply modern probabilistic machine learning and AI.
Über mich
After training as a theoretical physicist at TU Munich, I moved into genomics at the European Bioinformatics Institute (EMBL-EBI), and then worked on probabilistic models for pattern detection at the University of Cambridge (Cavendish Labs & Genetics).
In 2005 I took up the WWTF Vienna Science Chair of Bioinformatics at Boku University Vienna (www.bioinf.boku.ac.at), and followed a call to a full professorship in Warwick 2012 (joint appointment).
In 2019 I co-founded the Institute for Advanced Research in Artificial Intelligence together with Sepp Hochreiter and Michal Kopp (IARAI, http://www.iarai.org/, 2019-2023).
Kompetenzen
- Machine Learning
- Artificial Intelligence (AI)
- Genomics
- Transcriptomics
- Proteomics
- multi-omics
- Network Graph Algorithms
- Bayesian Models
- Benchmarking
- RNA-seq
- Next Generation Sequencing (NGS)
- High-Density Microarrays
- calibration
Interessen
- data integration
- Patient stratification
- ageing
- Alternative Splicing
Zusätzliche Fragen
Meine Haupttätigkeitsfelder
GrundlagenforschungTrans- und interdisziplinär
Meine Themenbereiche
DigitalisierungGesundheit
Aus diesen Gründen bin ich hier...
Ich möchte ein Partner für ein F&E-Projekt seinIch habe eine Idee für ein F&E-Projekt und suche nach PartnernIch möchte Ideen/Meinungen/Informationen austauschenIch biete mein Fachwissen an
Marktplatz (5)
Expertise
Sensitive functional pathway analysis using Bioinformatics and Graph Networks
By integrating functional pathway knowledge and genome scale data in graph networks we extract sensitive results even from smaller datasets.
AutorExpertise
Robust de-novo patient stratification even for small cohorts
We have established a method with unprecedented sensitivity and robustness in de-novo patient stratification.
AutorExpertise
Robust exploitation of large scale genome data (RNA-Seq, other NGS, high-density arrays, ...)
We bring decades of expertise in the exploitation of large scale genome data, developing best practice standards with the US FDA & partners.
AutorExpertise
Establishing / benchmarking advanced algorithms in Machine Learning and Artificial Intelligence (AI)
Advanced algorithm performance is always domain specific. We bring decades of experience in domain-specific benchmarking.
Autor