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

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)

Maciej M. Kańduła, Ph.D.

Marshall Plan Foundation, Research fellow

+43 1 47654 79172

Interests: Development and application of innovative technologies and methods; Integration of heterogeneous data; Deep learning; Workflow systems.

Background: Research Associate at the Deep Learning research group (Prof. Hochreiter, University of Linz). Research Fellow of the Marshall Plan Foundation (Marshallplan-Jubiläumsstiftung). Specializing in the integration of heterogeneous data sources, network-based algorithms, signal response benchmarks of computational methods in the life sciences, and bioinformatics automation systems. Most recent work includes multi-layer data integration for patient stratification in collaboration with Prof. Kolaczyk at Boston University, USA (Department of Mathematics and Statistics). Education and past placements: Master of Engineering (honors) in Biotechnology (Boku University Vienna). Industrial biotechnology research group (Prof. Jungbauer, Institute of Applied Microbiology). Genetics research group (Prof. Hauser, Institute of Applied Genetics and Cell Biology). International experience: Boston University, USA. University of Copenhagen, Denmark. Nestlé Suisse SA Lausanne, Switzerland.

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