Massimo Maiolo
Massimo Maiolo
ZHAW
Life Sciences und Facility Management
Einsiedlerstrasse 31a
8820 Wädenswil
Persönliches Profil
Tätigkeit an der ZHAW als
PhD student
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
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
Mitarbeit an folgenden Projekten
Publikationen
Beiträge, peer-reviewed
; Anisimova, Maria; Gatti, Lorenzo; Gil, Manuel; (2015).
The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases
.
In: Nucleic Acids Research. (doi: 10.1093/nar/gkv1310). Oxford: Oxford University Press. Peer reviewed.
(2015).
Wavelets as basis functions to represent the coarse-graining potential in multiscale coarse graining approach
.
Journal of Computational Physics, 300 592-604. Peer reviewed.