Massimo Maiolo

Tätigkeit an der ZHAW als

postdoc

http://www.ias.zhaw.ch

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Stochastic modeling and simulation for genomic data
Algorithms for genomic sequence analysis
Coarse-Grainined Molecular Dynamics
Monte Carlo methods
Conformational sampling applied to Molecular Dynamics
Signal processing
Time-frequency analysis, Multiresolution analysis (wavelets)
Digital Image Processing

Aus- und Fortbildung

2019-... : Postdoc, Zurich University of Applied Sciences (ZHAW)
2015-2019: PhD student, University of Zurich (UZH), University of Lausanne (UNIL), Zurich University of Applied Sciences (ZHAW)
2013-2014: Researcher at Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Applied Sciences and Arts of Southern Switzerland
2011-2012: Researcher at the Laboratory of Applied Mathematics and Physics (LaMFI), University of Applied Sciences and Arts of Southern Switzerland
2007-2010: Research Assistant at the Institute of Computer Integrated Manufacturing for Sustainable Innovation, University of Applied Sciences and Arts of Southern Switzerland
2008-2010: Masters of Science in Engineering, University of Applied Sciences and Arts of Southern Switzerland, Thesis award: "Premio dell'economia ticinese"
2004-2007: Bachelor of Science in Computer Science, University of Applied Sciences and Arts of Southern Switzerland, Award: "Premio dell'economia ticinese", nomination at "Swiss Engineering sezione Ticino"

Teaching/Supervising
2013: Bachelor thesis supervisor: "Procrustes analysis in the EEG", Student: Manlio Vaccalluzzo, Co-supervisor: Dr. Alberto Vancheri, Award: nomination at "Swiss Engineering sezione Ticino"
2012: Bachelor thesis supervisor: "Conformational sampling with Wang Landau Transition Matrix Monte Carlo applied to molecular systems", Student: Fabio Landoni, Co-supervisor: Dr. Alberto Vancheri, Awards: "Talenthesis" and "Swiss Engineering sezione Ticino"
2011: Teaching assistant, "From Fourier to Wavelets", Master Alari, Faculty of Informatics, University of Lugano

Scolarship
2007: Scolarship Chaudoire
2006: Scolarship Zonta

Mitglied in Netzwerken

• Swiss Institute of Bioinformatics

• Frequentist estimation of the evolutionary history of sequences with substitutions and indels / Teammitglied / Projekt laufend
• Data mining in neurological medicine / Teammitglied / Projekt abgeschlossen
• Fast joint estimation of alignment and phylogeny from genomics sequences in a frequentist framework / Teammitglied / Projekt abgeschlossen

• Maiolo, Massimo; Ulzega, Simone; Gil, Manuel; Anisimova, Maria,

  2020.

  Accelerating phylogeny-aware alignment with indel evolution using short time Fourier transform.

  NAR Genomics and Bioinformatics.

  2(4),

  S.lqaa092.

  Verfügbar unter: https://doi.org/10.1093/nargab/lqaa092

• Maiolo, Massimo; Zhang, Xiaolei; Gil, Manuel; Anisimova, Maria,

  2018.

  Progressive multiple sequence alignment with indel evolution.

  BMC Bioinformatics.

  19(331).

  Verfügbar unter: https://doi.org/10.1186/s12859-018-2357-1

• Anisimova, Maria; Gatti, Lorenzo; Gil, Manuel; Maiolo, Massimo,

  2015.

  The SIB Swiss Institute of Bioinformatics’ resources : focus on curated databases.

  Nucleic Acids Research.

  44(D1),

  S.D27-D37.

  Verfügbar unter: https://doi.org/10.1093/nar/gkv1310

• Maiolo, Massimo; Vancheri, A.; Krause, R.; Danani, A.,

  2015.

  Wavelets as basis functions to represent the coarse-graining potential in multiscale coarse graining approach.

  Journal of Computational Physics.

  300,

  S.592-604.

  Verfügbar unter: https://doi.org/10.1016/j.jcp.2015.07.039

M.Maiolo, A.Vancheri, R.Krause, A.Danani. Wavelets as basis functions to represent the coarse-graining potential in multiscale coarse graining approach. Journal of Computational Physic, 2015, 300, 592-604

B. Rasines, J. Sánchez-Nieves, M. Maiolo, M. Maly, L. Chonco, J.L. Jiménez, M.A. Muñoz-Fernández, F.J. de la Mata and R. Gómez. Synthesis, structure and molecular modelling of anionic carbosilane dendrimers. Dalton Trans., 2012, 41, 12733-1274.

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