Department of Computing Sciences
Via Guglielmo Röntgen 1
20136 Milan, Italy
I am a highly motivated researcher who aims at integrating cutting-edge computational strategies to mainly address biomedical problems.
Applied Sciences - MDPI
BMC Bioinformatics - Springer Nature
I am pleased to announce that I have just joined the Topics Board Editors: "Biomedical Engineering"
I am pleased to announce that I have just joined the BMC Bioinformatics Editorial Board as an
Heliyon Computer Science - Cell press
PLoS ONE - PLoS
I am pleased to announce that I have just joined the PLoS One Editorial Board as an
I am pleased to announce that I have just joined the Heliyon Computer Science Editorial Board as an Associate Editor
My main scientific interest is the combination of Computational Intelligence and Machine Learning approaches with High-Performance Computing strategies to deal with complex and computationally intensive biomedical problems.
My research activities focus on the design and development of novel methods and strategies to address real biomedical problems. I constantly work to effectively and efficiently combine Computational Intelligence (e.g., Evolutionary Computation, Swarm Intelligence, Fuzzy Logic) and Machine Learning approaches with High-Performance Computing strategies (e.g., General-Purpose Computing on Graphics Processing Units) to tackle complex and/or intensive problems in Computational Biology, Bioinformatics (e.g., Dimensional Reduction), Computational Systems Biology (e.g., Simulation of large scale models, Parameter Estimation), and other bio- and medical-based areas (e.g., Image analysis, Pattern Recognition).
Riva SG, Cazzaniga P, Nobile MS, Spolaor S, Rundo L, Besozzi D, Tangherloni A (2021). SMGen: A generator of synthetic models of biochemical reaction networks. Symmetry, 14(1): 119. DOI: 10.3390/sym14010119
Castelli M, Manzoni L, Mariot L, Nobile MS, Tangherloni A (2021). Salp Swarm Optimization: a Critical Review. Expert Systems with Applications, 189: 116029.
Tangherloni A, Nobile MS, Cazzaniga P, Capitoli G, Spolaor S, Rundo L, Mauri G, Besozzi D (2021). FiCoS: a fine- and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Computational Biology, 17(9): e1009410. DOI: 10.1371/journal.pcbi.1009410
Tangherloni A, Ricciuti F, Besozzi D, Liò P, Cvejic A (2021). Analysis of single-cell RNA sequencing data based on autoencoders. BMC Bioinformatics, 22(1): 309.
Ranzoni AM*, Tangherloni A*, Berest I*, Riva SG, Myers B, Strzelecka PM, Xu J, Panada E, Mohorianu I, Zaugg JB, Cvejic A (2021). Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis. Cell Stem Cell, 28(3): 472-487. DOI: 10.1016/j.stem.2020.11.015
(* equal contribution)