Matteo Delucchi

Work at ZHAW

Position at the ZHAW

PhD candidate in digital health data science in the group of Applied Statistics at the University of Zurich. Research focus on identifying predictive signatures of intracranial aneurysms growth, rupture and modelling of disease trajectory applying probabilistic graphical models. Github Campus Advisor & teaching assistant.

www.zhaw.ch/icls/computational-health/en/

Education and Continuing education

Expertise and research interests

Bayesian networks, protein tandem repeats, Github campus advisor

Professional milestones

Bioinformatics & Artificial Learning Systems Research Assistant in the research groups of Applied Computational Genomics and Bio-Inspired Modelling and Learning Systems.

Educational background

www.math.uzh.ch/as/

linkedin.com/in/matteodelucchi/

Membership of networks

• ISGC International Stroke Genetics Consortium
• MCAA Marie Curie Alumni Association
• PhD Programme in Data Science
• SIB Swiss Institute of Bioinformatics

Projects

• Stroke DynamiX / Team member / Project ongoing
• Modeling of multicentric and dynamic stroke health data / Team member / Project ongoing
• REFRACT – Repeat protein Function, Refinement, Annotation and Classification of Topologies / Team member / Project ongoing
• Data-driven decision support for intracranial aneurysms and hospital catering using Bayesian networks / Team member / Project completed
• PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses / Team member / Project completed
• Energie- und klimabewusste Ernährung in städtischen Verpflegungsbetrieben / Team member / Project completed

Publications

• Delucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine; Friedrich, Christoph M.; Furrer, Reinhard; Hirsch, Sven,

  2022.

  Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors.

  Computers in Biology and Medicine.

  147(105740).

  Available from: https://doi.org/10.1016/j.compbiomed.2022.105740

• Delucchi, Matteo; Näf, Paulina; Bliven, Spencer; Anisimova, Maria,

  2021.

  TRAL 2.0 : tandem repeat detection with circular profile hidden Markov models and evolutionary aligner.

  Frontiers in Bioinformatics.

  1(691865).

  Available from: https://doi.org/10.3389/fbinf.2021.691865

• Verbiest, Max; Delucchi, Matteo; Bilgin Sonay, Tugce; Anisimova, Maria,

  2021.

  Beyond microsatellite instability : intrinsic disorder as a potential link between protein short tandem repeats and cancer.

  Frontiers in Bioinformatics.

  1(685844).

  Available from: https://doi.org/10.3389/fbinf.2021.685844

• Morel, Sandrine; Schilling, Sabine; Diagbouga, Mannekomba R.; Delucchi, Matteo; Bochaton-Piallat, Marie-Luce; Lemeille, Sylvain; Hirsch, Sven; Kwak, Brenda R.,

  2021.

  Effects of low and high aneurysmal wall shear stress on endothelial cell behavior : differences and similarities.

  Frontiers in Physiology.

  12(727338).

  Available from: https://doi.org/10.3389/fphys.2021.727338

• Delucchi, Matteo; Schaper, Elke; Sachenkova, Oxana; Elofsson, Arne; Anisimova, Maria,

  2020.

  A new census of protein tandem repeats and their relationship with intrinsic disorder.

  Genes.

  11(4), pp. 407.

  Available from: https://doi.org/10.3390/genes11040407

• Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine; Friedrich, Christoph M.; Hirsch, Sven,

  2022.

  Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational and Mathematical Biomedical Engineering.

  pp. 22-25.

• Spinner, Georg R.; Delucchi, Matteo; Morel, Sandrine; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational and Mathematical Biomedical Engineering.

  pp. 72-75.

• Berger, Verena; Müller, Claudia; Egeler, Gian-Andrea; Muir, Karen; Bradford, Sebastian; Delucchi, Matteo; Stucki, Matthias; et al.,

  2021.

  Energie- und klimabewusste Ernährung in städtischen Verpflegungsbetrieben.

  Energieforschung Stadt Zürich.

  Available from: https://doi.org/10.21256/zhaw-23006

• Delucchi, Matteo,

  2020.

  A new census of protein tandem repeats and their relationship with intrinsic disorder room [poster].

  In:

  SIB Days 2020, virtual conference, 8-10 June 2020.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  pp. 407.

  Available from: https://doi.org/10.3390/genes11040407

Other publications

Javier Muñoz Laguna, Emanuela Nyantakyi, Urmila Bhattacharyya, Kathrin Blum, Matteo Delucchi, Felix Karl-Ludwig Klingebiel, Marco Labarile, Andrea Roggo, Manuel Weber, Thomas Radtke, Milo A Puhan and Cesar A Hincapié. Blinding assessment of manual therapy interventions of the back in Swiss graduate students: a blinding feasibility randomized controlled trial, 20 April 2023, PREPRINT (Version 1) available at Research Square, doi.org/10.21203/rs.3.rs-2761046/v1

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