Simone Casolo

Manager and industrial data scientist at Cognite. Ph.D. in theoretical chemistry, University of Milan.

I specialize in applying data science and machine learning to heavy industries such as process, energy, and chemicals, where complex and messy sensor data are the norm. I am especially interested in topological and geometrical methods for signal analysis, condition monitoring, and hybrid modeling.

Below are highlights from applied work on real assets; see the projects page for summaries and the publications page for bibliographic details.

selected publications

Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health

Peter Collett, Alexander Stasik, Simone Casolo, and 1 more author

(2026)

arXiv Bib HTML

@misc{collett2026fastbayesianequipmentcondition,
  title = {Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health},
  author = {Collett, Peter and Stasik, Alexander and Casolo, Simone and Riemer-S{\o}rensen, Signe},
  year = {2026},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2604.20735},
}

Testing Topological Data Analysis for Condition Monitoring of Wind Turbines

Simone Casolo, Alexander Stasik, Zhenyou Zhang, and 1 more author

In PHM Society European Conference, 8 (1), 10, (2024)

DOI arXiv Bib HTML

@inproceedings{casolo2024wind,
  title = {Testing Topological Data Analysis for Condition Monitoring of Wind Turbines},
  author = {Casolo, Simone and Stasik, Alexander and Zhang, Zhenyou and Riemer-S{\o}rensen, Signe},
  booktitle = {PHM Society European Conference},
  volume = {8},
  number = {1},
  pages = {10},
  year = {2024},
  doi = {10.36001/phme.2024.v8i1.4117},
}

Cloud-based virtual flow metering system powered by a hybrid physics-data approach for water production monitoring in an offshore gas field

Rafael H. Nemoto, Roberto Ibarra, Gunnar Staff, and 5 more authors

Digital Chemical Engineering, 9, 100124, (2023)

DOI Bib HTML

@article{casolo2023vfm,
  title = {Cloud-based virtual flow metering system powered by a hybrid physics-data approach for water production monitoring in an offshore gas field},
  author = {Nemoto, Rafael H. and Ibarra, Roberto and Staff, Gunnar and Akhiiartdinov, Anvar and Brett, Daniel and Dalby, Peder and Casolo, Simone and Piebalgs, Andris},
  journal = {Digital Chemical Engineering},
  volume = {9},
  pages = {100124},
  year = {2023},
  issn = {2772-5081},
  doi = {10.1016/j.dche.2023.100124},
}

Topological data analysis of slug flow in offshore wells

Simone Casolo

Digital Chemical Engineering, 4, 100045, (2022)

DOI Bib HTML PDF

@article{casolo2022slug,
  title = {Topological data analysis of slug flow in offshore wells},
  author = {Casolo, Simone},
  journal = {Digital Chemical Engineering},
  volume = {4},
  pages = {100045},
  year = {2022},
  doi = {10.1016/j.dche.2022.100045},
}