Massimo Maiolo

Massimo Maiolo
ZHAW
Life Sciences und Facility Management
Fachstelle Computational Genomics
Persönliches Profil
Tätigkeit an der ZHAW als
postdoc
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
Projekte
- 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
Publikationen
-
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.
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.