Dr. Simone Ulzega

Personal profile

Position at the ZHAW

Senior Research Scientist

www.zhaw.ch/ias

Expertise and research interests

Mathematical and computational methods for complex systems dynamics, high-performance computing

Educational background

M.Sc., Physics / Quantum Optics, University of Milan (Italy)
Ph.D., Atomic Physics, University of Fribourg (Switzerland)

Professional milestones

Postdoc at EPFL, Lausanne, biomolecular NMR spectroscopy, protein dynamics, high-performance computing.

R&D scientist at Bruker BioSpin AG, Fällanden, measurements methods and software for NMR spectroscopy.

Research scientist at Eawag, Dübendorf, complex systems dynamics in environmental sciences, mathematical and computational methods, high-performance computing.

Projects

• Feature Learning for Bayesian Inference / Team member / Project ongoing
• Machine learning for NMR spectroscopy / Team member / Project completed
• Data mining in neurological medicine / Project leader / Project completed
• Digital simulation for the tailored production of 3D nanofiber filters and their integration in a full protective suit for pandemic cases / Team member / Project completed
• BISTOM - Bayesian Inference with Stochastic Models / Project leader / Project completed
• A cloud-based IoT approach for food safety and quality prediction / Team member / Project completed
• Advanced Bayesian inference with stochastic hydrological models / Team member / Project completed

Publications

• Bacci, Marco; Sukys, Jonas; Reichert, Peter; Ulzega, Simone; Albert, Carlo,

  2023.

  A comparison of numerical approaches for statistical inference with stochastic models.

  Stochastic Environmental Research and Risk Assessment.

  Available from: https://doi.org/10.1007/s00477-023-02434-z

• Ulzega, Simone; Albert, Carlo,

  2023.

  Bayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model.

  Hydrology and Earth System Sciences.

  27(15), pp. 2935-2950.

  Available from: https://doi.org/10.5194/hess-27-2935-2023

• Castelnovo, Anna; Amacker, Julian; Maiolo, Massimo; Amato, Ninfa; Pereno, Matteo; Riccardi, Silvia; Danani, Andrea; Ulzega, Simone; Manconi, Mauro,

  2022.

  High-density EEG power topography and connectivity during confusional arousal.

  Cortex.

  (155), pp. 62-74.

  Available from: https://doi.org/10.1016/j.cortex.2022.05.021

• Albert, Carlo; Ulzega, Simone; Ozdemir, Firat; Perez-Cruz, Fernando; Mira, Antonietta,

  2022.

  Learning summary statistics for Bayesian inference with autoencoders.

  SciPost Physics Core.

  5(3), pp. 043.

  Available from: https://doi.org/10.21468/SciPostPhysCore.5.3.043

• Albert, Carlo; Ferriz-Mas, Antonio; Gaia, Filippo; Ulzega, Simone,

  2021.

  Can stochastic resonance explain recurrence of Grand Minima?.

  The Astrophysical Journal Letters.

  916(2), pp. L9.

  Available from: https://doi.org/10.3847/2041-8213/ac0fd6

• 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), pp. lqaa092.

  Available from: https://doi.org/10.1093/nargab/lqaa092

• Weyland, Mathias S.; Thumser-Henner, Pauline; Nytko, Katarzyna J.; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke; Lattuada, Marco; Füchslin, Rudolf Marcel; Scheidegger, Stephan,

  2020.

  Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems.

  Computational and Mathematical Methods in Medicine.

  2020.

  Available from: https://doi.org/10.1155/2020/5972594

• Albert, Carlo; Ulzega, Simone; Stoop, Ruedi,

  2016.

  Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation.

  Physical Review E.

  93(4).

  Available from: https://doi.org/10.1103/PhysRevE.93.043313

• Cousin, Samuel; Charlier, Cyril; Kadeřávek, Pavel; Marquardsen, Thorsten; Tyburn, Jean-Max; Bovier, Pierre-Alain; Ulzega, Simone; Speck, Thomas; Wilhelm, Dirk; Engelke, Frank; Maas, Werner; Sakellariou, Dimitrios; Bodenhausen, Geoffrey; Pelupessy, Philippe; Ferrage, Fabien,

  2016.

  High-resolution two-field nuclear magnetic resonance spectroscopy.

  Physical Chemistry Chemical Physics.

  18(48), pp. 33187-33194.

  Available from: https://doi.org/10.1039/C6CP05422F

• Ulzega, Simone; Albert, Carlo,

  2019.

  Bayesian inference for solar dynamo models [poster].

  In:

  1st Swiss “Workshop on Machine Learning for Environmental and Geosciences” (MLEG2019), Dübendorf, 16-17 January 2019.

• Weyland, Mathias; Thumser-Henner, Pauline; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke; Lattuada, Marco; Scheidegger, Stephan; Füchslin, Rudolf Marcel,

  2019.

  Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure [paper].

  In:

  Cagnoni, Stefano; Mordonini, Monica; Pecori, Riccardo; Roli, Andrea; Villani, Marco, eds.,

  Artificial Life and Evolutionary Computation.

  XIII International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Parma, Italy, 10-12 September 2018.

  Cham:

  Springer.

  pp. 127-137.

  Communications in Computer and Information Science ; 900.

  Available from: https://doi.org/10.1007/978-3-030-21733-4_10

• Ulzega, Simone; Albert, Carlo,

  2019.

  Bayesian parameter inference with stochastic solar dynamo models [poster].

  In:

  Platform for Advanced Scientific Computing (PASC19), Zurich, 12-14 June 2019.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-3225

• Ulzega, Simone,

  2018.

  Calibrating stochastic models for understanding solar activity.

  Transfer.

  2018(1), pp. 8.

  Available from: https://doi.org/10.21256/zhaw-3851

• Ulzega, Simone,

  2017.

  Boosting Bayesian parameter inference of stochastic differential equation models [poster].

  In:

  Life in Numbers 3, Wädenswil, 31 August 2017.

• Ulzega, Simone,

  2017.

  Boosting parameter inference with stochastic models using molecular dynamics and high-performance computing.

• Ulzega, Simone; Albert, Carlo; Beer, Jürg,

  2023.

  Shedding light on the sun through the calibration of solar dynamo models on millennial records of solar activity.

  In:

  5th Swiss SCOSTEP Workshop, Windisch, Switzerland, 15-16 May 2023.

  Available from: http://scostep2023.cs.technik.fhnw.ch/pres/ulzega_scostep_2023.pdf

• Ulzega, Simone; Albert, Carlo,

  2023.

  Boosting Bayesian parameter inference of SDE models by Hamiltonian scale separation : a real-world case study in urban hydrology.

  In:

  3rd biennial meeting of the ISBA Section on Bayesian Computation (Bayes Comp), Levi, Finnland, 15-17 March 2023.

• Ulzega, Simone; Albert, Carlo,

  2022.

  Bayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model.

  In:

  EGU General Assembly 2022, Vienna, Austria, 23-27 May 2022.

  Available from: https://doi.org/10.5194/egusphere-egu22-8729

• Albert, Carlo; Gaia, Filippo; Ulzega, Simone,

  2020.

  Can stochastic resonance explain the amplification of planetary tidal forcing?.

  In:

  EGU General Assembly 2020, Online, 4-8 May 2020.

  Available from: https://presentations.copernicus.org/EGU2020/EGU2020-15185_presentation.pdf

• Albert, Carlo; Ulzega, Simone,

  2020.

  Stochastic resonance could explain recurrence of Grand Minima.

  In:

  EGU General Assembly 2020, online, 4-8 May 2020.

  Available from: https://doi.org/10.5194/egusphere-egu2020-15185

• Ulzega, Simone; Albert, Carlo,

  2019.

  Bayesian inference methods for the calibration of stochastic dynamo models.

  In:

  4th Solar Dynamo Thinkshop, Rome, Italy, 25 - 26 November 2019.

• Albert, Carlo; Ulzega, Simone,

  2019.

  Can stochastic resonance explain the amplification of planetary tidal forcing?.

  In:

  4th Solar Dynamo Thinkshop, Rome, Italy, 25 - 26 November 2019.

• Ulzega, Simone; Albert, Carlo,

  2018.

  Bayesian parameter inference with stochastic solar dynamo models.

  In:

  NDES 2018, 26th Nonlinear Dynamics of Electronic Systems Conference, Acireale, Italy, June, 11-13 2018.

• Ulzega, Simone; Albert, Carlo; Abreu, Josè; Beer, Jürg,

  2018.

  Is there a planetary influence on solar activity? Some insights from nonlinear dynamics and Bayesian statistics.

  In:

  Biannual Workshop on Solar Physics, Freiburg, Germany, 7-9 May 2018.

• Ulzega, Simone,

  2018.

  A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models.

  In:

  Kick-off Workshop for SDSC-ETH BISTOM project at Eawag, Dübendorf, Germany, 10 January 2018.

• Weyland, Mathias; Thumser-Henner, Pauline; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke; Lattuada, Marco; Scheidegger, Stephan; Füchslin, Rudolf Marcel,

  2018.

  Dynamic DNA damage and repair modeling : bridging the gap between experimental damage readout and model structure.

  In:

  XIII International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Parma, Italy, 10-12 September 2018.

• Ulzega, Simone,

  2017.

  A Hamiltonian Monte Carlo method for boosting Bayesian parameter inference of stochastic differential equation models.

  In:

  NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.

Publications before appointment at the ZHAW

C. Albert, S. Ulzega, R. Stoop, Boosting Bayesian Parameter Inference of Nonlinear Stochastic Differential Equation Models by Hamiltonian Scale Separation, Phys. Rev. E 93, 043313 (2016)

N. Salvi, S. Ulzega, F. Ferrage, G. Bodenhausen, Timescales of slow motions in ubiquitin explored by heteronuclear double resonance, J. Am. Chem. Soc. 134, 2481 (2012)

V. Vitzthum, M. A. Caporini, S. Ulzega, G. Bodenhausen, Broadband excitation and indirect detection of nitrogen-14 in rotating solids using Delays Alternating with Nutation (DANTE), J. Magn. Reson. 212, 234 (2011)

S. Ulzega, N. Salvi, T. F. Segawa, F. Ferrage, G. Bodenhausen, Control of cross relaxation of multiple-quantum coherences induced by fast chemical exchange under heteronuclear double-resonance irradiation, ChemPhysChem 12, 333 (2011)

S. Ulzega, New tools in BioNMR: indirect detection of nitrogen-14 in solids, Chimia (invited contribution) 64(3), 157 (2010)

S. Ulzega, M. Verde, F. Ferrage, G. Bodenhausen, Heteronuclear double resonance in NMR spectroscopy: relaxation of multiple-quantum coherences, J. Chem. Phys. 131, 224503 (2009)

S. Cavadini, A. Abraham, S. Ulzega, G. Bodenhausen, Evidence for dynamics on a 100 ns time-scale from single- and double-quantum nitrogen-14 NMR in solid peptides, J. Am. Chem. Soc. 130(33), 10850 (2008)

P. Moroshkin, A. Hofer, S. Ulzega, A. Weis, Impurity-stabilized solid 4He below the solidification pressure of pure helium, Nature Physics 3, 786-789 (2007)

S. Ulzega, A. Hofer, P. Moroshkin, R. Müller-Siebert, D. Nettels, A. Weis, Measurement of the forbidden electric tensor polarizability of Cs atoms trapped in solid 4He, Phys. Rev. A 75, 042505 (2007)

S. Ulzega, A. Hofer, P. Moroshkin, A. Weis, Reconciliation of experimental and theoretical electric tensor polarizabilities of the Cs ground state, Europhys. Lett. 76(6), 1074 (2006)

P. Moroshkin, A. Hofer, S. Ulzega, A. Weis, Spectroscopy of atomic and molecular defects in solid 4He using optical, microwave, radio frequency, magnetic and electric fields, Low Temp. Phys. 32(11), 981 (2006)

D. Nettels, A. Hofer, P. Moroshkin, R. Müller-Siebert, S. Ulzega, A. Weis, Discovery of dumbbell-shaped Cs*He_n exciplexes in solid 4He, Phys. Rev. Lett. 94, 063001 (2005)

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