I have a Bachelor’s, Master’s, and Ph.D. degree in Computer Science, all received from the University of Milano-Bicocca (Milano, Italy). My PhD thesis was titled “Evolutionary Inference of Biological Systems Accelerated on Graphics Processing Units“. My advisor was Professor Giancarlo Mauri.
I am Associate Professor in the Department of Environmental Sciences, Informatics and Statistics (DAIS) of the Ca’ Foscari University of Venice, Italy.
I am the Rector’s delegate for Digital Innovation and Integrity in Research.
I am member of European Commission’s AI Act Advisory Forum.
I am the scientific vice-coordinator of CONVECS – “Venetian Community for Scientific Computation”.
I am Associate Editor for IEEE Transactions on Artificial Intelligence.
I am part of the B4 — Bicocca Bioinformatics, Biostatistics and Bioimaging inter-departmental research center (Italy).
I am Senior member of IEEE. I am member of the IEEE Computational Intelligence Society.
Since 2025, I am chair of the IEEE CIS Bioinformatics and Bioengineering Technical Committee.
I have been Chair of the IEEE BBTC Task Force for “Advanced Representation” of candidate solutions in bio-medical research from 2019 to 2023. I am currently also member of the IEEE BBTC Task Force on “Computational Intelligence in Health and Medicine” (CIHM).
I am member of the FRACTALS (Fair and Responsible Algorithms for Complex-systems, Therapeutics, Astrophyics, and Life Sciences) research group.
I am currently member of the COST Action CA21169 “Information, Coding, and Biological Function: the Dynamics of Life (DYNALIFE)”. I belong to the Working Group “Statistical and probabilistic modelling and analysis, bioinformatics and machine learning”.
I have received the Italian ASN (“Abilitazione Scientifica Nazionale”) for both the role of Full Professor in Computer Science (sett. 01/B1) and Software Engineering (sett. 09/H1).
Some past affiliations and activities
From 2022 to 2024 I have been Associate Editor for Frontiers in Genetics, specialty section Computational Genomics. I have been guest editor for IEEE Computational Intelligence Magazine (CIM).
Between 2016 and 2019 I have been member of the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications”. I belonged to the Working Group 3 “HPC-enabled Modelling for Life Sciences” and I have been leader of the Case Study “Towards Human Cell Simulation”.
Between 2018 and 2019 I have been “Cooperative Research Fellow” of the RCAST — Research Center for Advanced Science and Technology (The University of Tokyo, Japan).
Between 2021 and 2024 I have been member of EAISI — The Eindhoven Artificial Intelligence Systems Institute.
Research interests
My main research interest is Computational Intelligence in many forms: Evolutionary Computation (EC), Swarm Intelligence (SI), Fuzzy Logic (FL), Machine Learning (ML).
I extensively exploit creative combinations of such techniques to create automatic tools able to tackle complex problems in biomedical disciplines, including clinical decision support, medical image analysis, and drug discovery. I recently opened a new research direction with Milano’s INFN, focusing on the prediction of cosmic rays propagation within the heliosphere by means of stochastic modeling and simulation.
EC, SI, and ML methods provide powerful means to tackle hard computational problems; however, these approaches are computationally demanding activities. For this reason, I also work on the optimization and acceleration of algorithms. In particular, I largely rely on high-performance infrastructures, in particular clusters of GPUs, to leverage the relevant computational power offered by new generation accelerators.
Awards and nominations
🏅 “Shark Tank” award at CMR 2024 (the Global Cardiac Magnetic Resonance conference), London, UK for the talk “Optimizing Inversion Time Prediction for Late Gadolinium Enhancement Imaging with Artificial Intelligence” (2024)
🏅 Best abstract award at the 83th Congress of the Italian Cardiology Society (SIC) for the paper “Techniques of Artificial Intelligence for the determination of the optimal inversion time: the THAITI project” (2022)
Nominated for best paper award at the 2026 IEEE World Congress on Computational Intelligence (IEEE WCCI 2026)
Nominated for best paper award at the 2025 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2025)
Nominated for best paper award at the 2023 IEEE Congress on Evolutionary Computation (IEEE CEC)
Nominated for best paper award at the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC)
Visiting
🇳🇱 Apr 2024–Jun 2024: Visiting researcher, Eindhoven University of Technology, Biomedical Engineering Department, Eindhoven, The Netherlands, Host: Prof. Francesca Grisoni.
Research Activity on AI applied to drug discovery
🇪🇸 Dec 2023–Feb 2024: Visiting researcher, Catalan Institute of Oncology (ICO), Barcelona, Spain, Host: Prof. Victor Moreno.
Research activity on interpretable AI for the prediction of survival in colon-rectal cancer therapies
🇯🇵 Feb 2018: Visiting researcher, Kanzaki-Takahashi Laboratory, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Japan, Supervisor: Prof. Ryohei Kanzaki.
Research activity on multi-objective parameter estimation of Hodgkin-Huxley neural models
🇯🇵 Apr 2017–May 2017: Visiting researcher, Kanzaki-Takahashi Laboratory, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Japan, Supervisor: Prof. Noriyasu Ando.
Research activity on odor sensing and collision avoidance in insect-controlled robots
🇺🇸 Jul 2016–Aug 2016: Visiting researcher, LopezLab, Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA, Supervisor: Prof. Carlos Lopez.
Research activity on GPU-powered stochastic simulation
🇯🇵 Jan 2016–Feb 2016: Visiting researcher, IBA Research Laboratory of Genetic and Evolutionary Computation, Graduate School of Frontier Sciences, The University of Tokyo, Japan, Supervisor: Prof. Hitoshi Iba.
Research activity on automatic design of oscillatory gene regulatory networks
🇺🇸 Jun 2014–Jul 2014: Visiting research student, LaBean Research Laboratory of Bionanotechnology, Department of Material Science & Engineering, North Carolina State University, Raleigh, NC, USA, Supervisor: Prof. Thomas LaBean.
Research activity on DNA-based digital nano-circuits
🇺🇸 Jun 2014: Visiting research student, Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA, Supervisor: Prof. Carlos F. Lopez.
Extension of the cupSODA biochemical simulator and integration with pySB
🇯🇵 Nov 2013–May 2014: Visiting research student, IBA Research Laboratory of Genetic and Evolutionary Computation, Graduate School of Frontier Sciences, The University of Tokyo, Japan, Supervisor: Prof. Hitoshi Iba.
Research activity in the field of Synthetic Biology
Contacts
You can contact me by e-mail at the address marco.nobile AT unive.it, on LinkedIn, or by sending a message on Bluesky.
Academic profiles
My page on the Ca’ Foscari website
My profile in IEEE collabratec
Non-academic stuff
In my imaginary spare time I do play the guitar synth, the electric guitar, and a Commodore 64 configured as a synthesizer. You can find some of my own compositions on Soundcloud. You will also find a few songs recorded with my two bands, Lack of Bits and Yuku Haruya.