Alumni

Here are some of the Alumni of the Master Course Physics of Complex Systems, with a short description of their present activities after completing the International Master Program. Please contact us (pcs@polito.it) if you wish an update of this page.

Photo

MICHELE AGAMENNONE

Graduated in 2014 with an internship on 'Modelling of the neuronal growth process in 2-dimensional artificial cultures', at the Laboratoire Matière et Systèmes Complexes (Université Paris Diderot VII).

Current position and activity: Ph.D. at King's College London (UK), in the framework of the CANES CDT programme, working since September 2015 on 'Models of riots and uprisings'.

Webpage: click here
Contact: michele.agamennone@kcl.ac.uk

GIORGIO ANGELOTTI

Graduated in 2019 with an internship on "Correlations in heart beat time series during exercise" at Laboratoire de Physique Théorique et Modèles Statistiques - Université Paris-Saclay. Supervisor: Thorsten Emig

Current position and activity: Ph.D. Student in "Automated POMDP model learning to drive Human-Robot interactions" at ISAE-Supaero and ANITI - Artificial and Natural Intelligence Toulouse Institute (France), under the supervision of Frédéric Dehais, Caroline Chanel and Nicolas Drougard

Contact: LinkedIn

LUCA BARBERI

Graduated in 2016 with an internship on 'Dense-packing geometry of viral DNA', at the Laboratoire de Physique Théorique et Modèles Statistiques (Université Paris-Sud, France), under the supervision of Martin Lenz.

Ph.D. at the Laboratoire de Physique Théorique et Modèles Statistiques (CNRS & Université Paris-Sud, France), with a Thesis on 'Inferring forces from geometry in biology', under the supervision of Martin Lenz.

Current position and activity: postdoc at the Université de Genève (Geneva, Switzerland) in the group of Karsten Kruse, investigating the dynamical coupling between the actin cytoskeleton and its biochemical regulators in cells.

Webpage: Click here
Contact: luca.barberi@unige.ch

JEAN BARBIER

Graduated in 2012 with an internship on 'Statistical physics of inference applied to compressed sensing', at the Laboratoire de physico-chimie théorique, Ecole Supérieure de Physique et Chimie Industrielle de Paris.

Current position and activity: Associate Research Officer at the International Centre for Theoretical Physics (ICTP), Trieste, working on on high-dimensional statistics, statistical physics and random matrix theory applied to inference and machine learning

Webpage: click here
Contact: jean.barbier.cs@gmail.com

ALBERTO BERETTA

Graduated in 2016 with an internship on 'Loops and Gauge Transformations in Model Selection', at the International Centre for Theoretical Physics (ICTP), Trieste.

Current position and activity: MSc in International Finance student at the Ecole des Hautes Etudes Commerciales (HEC) in Paris.

Webpage: N/A
Contact: albertoberetta92@gmail.com

GIANMICHELE BLASI

Graduated in 2015 (MSc in Physics of Complex Systems) with an internship on 'Floquet Analysis of Time-Periodic 1D Lieb-Liniger Model System in Low-Energy Regime', at the Department of Statistical Physics, SISSA, Trieste, Italy.

Graduated in 2016 (MSc in Nanotechnology for ICTs) with an internship on 'Characterising the dynamical response properties of silicon neurons', at the Institute of Neuroinformatics, ETH – Zurich, Switzerland.

Ph.D. in Nanoscience at Scuola Normale Superiore – Pisa, Italy, with a thesis on 'Nonlocal Thermoelectricity and Entanglement in Topological Josephson junctions', under the supervision of Prof. Vittorio Giovannetti, Dr. Alessandro Braggio and Dr. Fabio Taddei.

Current position and activity: postdoc at the Université de Genève (Geneva, Switzerland) in the group of Prof. Géraldine Haack and Prof. Nicolas Brunner, working on quantum thermodynamics, quantum transport and condensed matter physics.

Webpage: Linkedin
Contact: gianmichele.blasi@unige.ch

FEDERICO BOCCI

Graduated in 2015 with an internship on 'Mechanical response of disordered viscoelastic networks' at the Laboratories de Physique Théorique et Modèles Statistiques (LPTMS), Université Paris-Sud.

Current position and activity: Ph.D. student at the Center for Theoretical Biological Physics (CTBP), Rice University, Houston (USA), working on 'mathematical modelling of gene regulatory networks' under the supervision of Prof. J. Onuchic.

Contact: Federico.Bocci@rice.edu

VICTOR BOUDARA

Graduated in 2013 with an internship in theoretical Biophysics on 'Sub-cellular structure' at the Laboratoire Matière et Systèmes Complexes, Université Paris Diderot.

Current position and activity: Ph.D. student at the School of Mathematics, University of Leeds (UK) with a Marie Curie fellowship of the SUPOLEN project, working on 'Simplified tube model for entangled supramolecular polymers', under the supervision of Prof. D.J. Read.

Contact: victor.boudara@live.fr

CARLO CAMPAJOLA

Graduated in 2015 with an internship on 'A random network approach to liquid water', at the Condensed Matter and Statistical Physics Group, ICTP Trieste (Italy). Ph.D. in Mathematical finance at Scuola Normale Superiore, Pisa (Italy).

Current position: postdoctoral researcher at the University of Zurich, Network Science group (Zurich. Switzerland) under Prof. Dr Claudio J. Tessone, working on blockchain analytics and economic metrics for digital currency systems

Contact: carlo.campajola@uzh.ch

ALESSANDRO CAPPELLI

Graduated in 2019 with an internship on "Optimal binary encoding through convolutional autoencoders" at LightOn

Current position and Activity: Machine learning Engineer at LightOn

Contact: alessandrocappelli94@gmail.com

ANDREA CESARI

Graduated in 2014 with an internship on 'Molecular dynamics simulations techniques', in the Physics and Chemistry of Biological Systems Group at SISSA, Trieste (Italy).

Current position and activity: Ph.D. at SISSA in Trieste (Italy), working on 'Molecular dynamics simulations of RNA', in the Physics and Chemistry of Biological Systems Group, at SISSA, under the supervision of Prof. Giovanni Bussi.

Webpage: click here
Contact: andrea.cesari@sissa.it

FRANCESCO COGHI

Graduated in 2017 with an internship on 'Large deviations of random walks on random graphs', at the National Institute for Theoretical Physics (NITheP) in Stellenbosch (South Africa).

Current position and activity: Ph.D. student at Queen Mary University of London in the "Dynamical Systems and Statistical Physics" group, working on large deviations of reset processes under the supervision of Dr. R. J. Harris.

Webpage: www.francescocoghi.com

Contact: francesco.coghi@gmail.com

LUCA CONCA

Graduated in 2012 with an internship on the 'Inverse Ising problem', at the Laboratoire de Physique Statistique de l'Ecole Normale Supérieure, Paris.

Current position and activity: Ph.D. student at the Laboratoire Polymères et Matériaux Avancés (LPMA), in Lyon (France), working on 'Modelling of polymer systems'.

Contact: luca.conca-exterieur@solvay.com

DANIELE CONTI

Graduated in 2014 with an internship on 'Cortical interneurons clustering by advanced statistical physics methods', at HuGeF - Human Genetics Foundation, Torino (Italy).

Current position and activity: Ph.D. student in Physics at Politecnico di Torino, working on Neuromorphic circuits based on memristors.

Webpage: click here
Contact: daniele.conti@polito.it

LUCA CORINZIA

Graduated in 2016 with an internship on 'Activity shaping in continuous time information cascades', at the Centre de Mathématiques er de leurs Applications (CMLA), Ecole Normale Supérieure, Saclay, Paris

Current position and activity: PhD student at ETH Zurich, Machine Learning institute, working on machine learning for video classification and embedding.

Contact: luca.corinzia@inf.ethz.ch

DARIO COTTAFAVA

Graduated in 2014 with an internship on 'Message passing approach to the dynamics of opinion spreading', at the Department of Applied Science and Technology, Politecnico di Torino. Research fellowships related to Smart Buildings (UniTO), Big Data & Building Energy Management Systems (CRT Foundation & UniTO),  Open Data for Sustainability (Goria Foundation & UniTO) and Modeling and regulation algorithms in ESACOM project (UniTO).

Current position and activity: Ph.D. student in "Innovation for the Circular Economy" at the Department of Physics of the University of Turin working on "Energy Modeling for the Circular Economy" under the supervision of Prof. P. Gambino

Webpage: click here
Contact: Dario.cottafava@gmail.com

AGNESE CURATOLO

Graduated in 2014 with an internship on 'Statistical physics of driven diffusive systems' at the Laboratoire Matière et Systèmes Complexes, Université Paris-Diderot. Ph.D. at the Laboratoire Matière et Systèmes Complexes, Université Paris-Diderot, with a Ph.D. Thesis on "Collective behaviours in living systems: from bacteria to molecular motors", under the supervision of Dr. J. Tailleur.

Current position and activity: postdoc at the School of Engineering and Applied Sciences, Harvard University (USA), in the group of Dr. Michael Brenner, working on self-assembly problems in soft matter

Contact: acuratolo@seas.harvard.edu

MARIO DAGRADA

Graduated in 2013 with an internship on 'Proton transfer reaction in water: quantum Monte Carlo study of the Zundel model' at the Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie (IMPMC) at the University Pierre et Marie Curie, Paris. Received a double PhD at the University Pierre et Marie Curie in Paris and the Universidad Nacional de San Martin in Buenos Aires on 'Improved quantum Monte Carlo simulations: from open to extended systems', under the supervision of Prof. F. Mauri and Dr. M. Casula in France and Dr. V. Vildosola in Argentina.

Current position and activity: R&D software engineer at Intitek, working in Grenoble at the Atos Bull company, specialized in high performance computing and development of communication libraries and tools for the Sequana supercomputer.

Webpage: University ; Lindedin
Contact: mariodagrada24@gmail.com

LORENZO DALL'AMICO

Graduated in 2018 with an internship on 'A mechanism for the latent liquidity revealing  into the limit order book', at LadHyX (Laboratoire d'Hydrodynamique de l'Ecole Polytechnique et CNRS, Paris) supervised by Dr. Michael Benzaquen.

Current position and activity: Ph.D. student at GIPSA Lab, Université Grenoble Alpes, with the project 'Harnessing Machine Learning Performances : a random matrix and statistical physics approach' under the supervision of Prof. R. Couillet

Webpage: Linkedin
Contact: lorenzo.dallamico@hotmail.it

FEDERICO DEVALLE

Graduated in 2015 with an internship on 'Inference of capabilities in production networks', at the department of Quantitative Life Sciences, ICTP, Trieste (Italy).
Current position and activity: PhD student of the European ITN network COSMOS, working on the project 'Collective phenomena in networks of spiking neurons' at the Universitat Pompeu Fabra, Barcelona (Spain) and Lancaster University (UK).
Contact: federico.devalle@upf.edu

GIUSEPPE MARIA FERRO

Graduated in 2018 with an internship on "Horse-race between decision-making models: Quantum Decision Theory and 'Classical' counterparts" at ETH Zurich (Switzerland)

Current position: Ph.D. student at ETH Zurich working on Quantum Decision Theory under the supervision of Prof. Didier Sornette

Email: giuseppemaria.ferro@gmail.com

LEONARDO GALLIANO

Graduated in 2022 with an internship on “Non-equilibrium crystallisation across a dynamical phase transition” at the Laboratoire Charles Coulomb (CNRS), in Montpellier.

Current position and activity: Ph.D. student at the International Centre for Theoretical Physics (ICTP), Trieste, and Laboratoire Charles Coulomb, Montpellier, working on “Machine learning approaches for the simulation and discovery of novel ultrastable amorphous materials” with Prof. Daniele Coslovich and Prof. Ludovic Berthier.

Contact: leonardo.galliano@phd.units.it

FRANCESCO GIANOLI

Graduated in 2014 with an internship on 'Agent-based economic modelling' at the Laboratoire de Physique Théorique de la Matière Condensée (LPTMS), Université Pierre et Marie Curie.

Ph.D. at the Imperial College London (UK), with a Thesis on 'The GATE-spring theory: a new model of mechanotransduction in auditory hair cells' at the Laboratory of Auditory Neuroscience and Biophysics in the Department of Bioengineering.

Current position and activity: Research associate at Imperial College London (UK) with the support of the U.S. Army Research Laboratory, working on understanding the principles at the basis of auditory mechanotransduction and how blast injuries can affect the auditory system.

Webpage: Click here

Contact: f.gianoli14@imperial.ac.uk

CARLA LUPO

Graduated in 2015 with an internship on 'Transient Loschmidt echo in quenched Ising chains', Institut de Physique Théorique CEA-Saclay (France).

Current position and activity: Ph.D. student at King's College, London (UK), working on 'Tailoring the magnetic relaxation of correlated nano-particles for medical imaging application', with Dr. Cedric Weber

Webpage: Click here
Contact: carla.lupo@kcl.ac.uk

RICCARDO G. MARGIOTTA

Graduated in 2014 with an internship on 'Ramsey Model with heterogeneous agents and irreversible investments', at the Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), Université Paris Sud.

Current position and activity: Ph.D. student at King's College London (UK), working on Glassy dynamics on networks in the Disordered systems Group.

Contact: riccardo_giuseppe.margiotta@kcl.ac.uk

FRANCESCA MASTROGIUSEPPE

Graduated in 2014 with an internship on 'Inference of causal models from brain activity', at the Institut Curie, Paris.

Received a PhD at École Normale Supérieure in Paris, with a thesis entitled “From dynamics to computations in low-rank recurrent neural networks”.

Current position and activity: postdoc at the Gatsby Computational Neuroscience Unit (University College London), studying how learning shapes activity in brain and artificial neural networks.

Webpage: Click here

Contact: fran.mastrogiuseppe@gmail.com

MARCO MICHELANGELI

Graduated in 2015 (Master in Physics of Complex Systems) with an internship on 'Conformal invariance in one dimensional percolation systems' at SISSA, Trieste.

Graduated in 2017  (Master in Business Analysis and Analytics) at Politecnico di Milano

Current position and activity: Data Scientist at Enel. Working on Fraud Detection and Revenue Protection problems using Deep Learning techniques. Further projects on time series forecasts using Iot and Big Data technologies.

Contact: marco.michelangeli@enel.com

FRANCESCA MIGNACCO

Graduated in 2019 with an internship on 'Statistical physics modelling of generative adversarial networks' at Institut de Physique Théorique, CEA Saclay, France

Current position and activity: Ph.D. student on 'Statistical physics and machine learning' at Institut de Physique Théorique and Université Paris-Saclay, under the supervision of Lenka Zdeborová and Pierfrancesco Urbani

Contact: francesca.mignacco@ipht.fr

ALESSANDRO MIRIGALDI

Graduated in 2018 with an internship on ''Field enhancement in metal nanoparticles for hot electrons generation rate'' in the PrimaLight group at King Abdullah University of Science and Techcnology (KAUST, Saudi Arabia), under the supervision of prof A. Fratalocchi and prof A. Montorsi.

Current position and activity: Ph.D. student at Politecnico di Torino, working on ''computational photonics and AI driven optimization of photonics devices''  in the Department of Electronics and Telecommunication (DET), under the supervision of professor G. Perrone

Webpage: Click here

Contact: alessandro.mirigaldi@polito.it

FRANCESCO MORI

Graduated in 2019 with an internship on "Extreme Value Theory of Random Walks" at LPTMS (Université Paris-Saclay)

Current position and activity: Ph.D. on "Extreme Value Statistics in Stochastic Processes" under the Supervision of Satya Majumdar and Grégory Schehr at LPTMS (Université Paris-Saclay)

Contact: francesco.mori@universite-paris-saclay.fr

Webpage: click here

ANNA MUNTONI

Graduated in 2013 with an internship on 'Detecting overlapping random subgraphs using statistical mechanics tools', at the Department of Applied Science and Technology, Politecnico di Torino (Italy). Ph.D. in Physics with the Thesis 'Statistical mechanics approaches to optimization and inference' at Politecnico di Torino (Italy), under the supervision of Prof. A. Braunstein.

Current position and activity: Post-doc at Laboratory of Computational and Quantitative Biology at Sorbonne Université (Paris, France) and at Laboratoire de Physique Théorique at Ecole Normale Supérieure (Paris, France) with the support of Simons Collaboration on Cracking the Glass Problem.

Webpage: Click here

Contact: muntoni@lpt.ens.fr

MATTHIEU NADINI

Graduated in 2017 with an internship on 'Epidemic spreading in modular time varying networks', at the Center for Business Network Analysis, Greenwich University, London (UK). Received his PhD at New York University Tandon School of Engineering with a Dissertation "Analysis and inference in temporal networks, with application to epidemic spreading" , under the supervision of Profs. M. Porfiri (NYU) and A. Rizzo (PoliTo).

Current position and activity: Postdoctoral Research Associate at the City, University of London and The Alan Turing Institute working with Profs. Andrea Baronchelli (City of London), Alex Teytelboym (Oxford), and Angela Gallo (City of London) in the EPSRC funded project "COVID-19: Monitoring the effects of the pandemic on illicit online trade".

Webpage: www.matthieunadini.com 

Contact: matthieu.nadini@gmail.com

MATTEO NORI

Graduated in 2015 with an internship on 'Relativistic attractive Bose-Einstein condesate as self-sustained critical system: a Black Hole analogue?', at the Department Astroparticle Physics at SISSA, Trieste (Italy).

Current position and activity: Ph.D. student at the University of Bologna (Italy), working on Simulating the IMpact of COsmic DEgeneracies on precision cosmology (SIMCODE) project with 'Scientific Independence of young Researchers' (SIR - MIUR) fellowship.

Contact: nori.matteo@gmail.com

LORENZO PACCHIARDI

Graduated in 2018 with an internship on "Random subspace training to investigate deep neural networks" at LightOn, Paris. 

Ph.D. in Statistics (2023) at the University of Oxford, on "Bayesian Statistics and Machine Learning"

Current position and activity: Research Associate at the Leverhulme Centre for the Future of Intelligence, University of Cambridge (UK). 

Webpage

lorenzo.pacchiardi@gmail.com

GABRIELE PERFETTO

Graduated in 2016 with an internship in "Statistics and ballistic transport from a quench of two Ising chains", in the Statistical physics group at SISSA, Trieste, Italy.

Current position and activity: Ph.D. student at the international School for Advanced Studies (SISSA), Trieste-Italy, in the Statistical physics group working on large deviations of low dimensional quantum systems out of equilibrium under the supervision of professor A. Gambassi.

Webpage: ArXiv

Email: gperfetto@sissa.it

MARIANYELA PETRIZZELLI

Graduated in 2015 with an internship on 'Frequencies of multi-locus genotypes in SIB recombinant inbred lines', at Génétique Quantitative et Evolution - Le Moulon, INRA, Univ Paris-Sud, CNRS, AgroParisTech, Paris.

Current position and activity: Ph.D. at Université de Paris Sud (France), working on 'Mathematical modelling and integration of complex biological data: analysis of the heterosis phenomenon in yeast ', in the framework "Les sciences de la Vie a leurs interfaces".

Contact: marianyelapetrizzelli@gmail.com

MIRKO PIEROPAN

Graduated in 2016 with an internship on 'Effects of ethanol and nicotine on the dynamics of dopaminergic neurons' at the Group for Neural Theory, ENS Paris, France

Current position and activity: Ph.D. student at Politecnico di Torino, working on 'Expectation consistent methods for inference in inverse and reconstruction problems' under the supervision of Prof. Andrea Pagnani and Prof. Alfredo Braunstein.

Webpage: Linkedin
Contact: mirko.pieropan@polito.it

ANDREA PIZZI

Graduated in 2018 with an internship on "Non equilibrium dynamics in the fully connected Bose-Hubbard model" at the École Polytechnique (Paris) under the supervision of Prof. Karyn Le Hur. Ph.D. at the University of Cambridge, with a thesis on "Discrete time crystals beyond the Many-body Localization paradigm"

Current position and activity: Post-doctoral fellow at Harvard University (Norman Yao's group) and Trinity College Junior Research Fellow at the University of Cambridge, investigating various aspects of quantum and classical many-body nonequilibrium systems

Webpage: Click here
Contact: ap2076@cam.ac.uk

IACOPO POLI

Graduated in 2017 with an internship on 'Accelerating Deep Neural Networks with Random Projections', at the LightOn company, Paris.

Current position and activity: R&D Engineer in Machine Learning at LightOn, Paris.

Contact: iacopo@lighton.io

LORENZO POSANI

Graduated in 2015 with an internship on 'Decoding of space representation in the hippocampus with Statistical Physics techniques', at Laboratoire de Physique Théorique - Ecole Normale Superieure de Paris.

PhD at Laboratoire de Physique Statistique - Ecole Normale Supérieure de Paris (France), with a Thesis on 'Inference and modelling of biological networks: a statistical-physics approach to neural attractors and protein fitness landscapes', under the supervision of Profs. S. Cocco and R. Monasson.

Current position and activity: post-doctoral researcher at Institut Pasteur & Ecole Normale Supérieure de Paris (France)

Webpage: Click here

Contact: lorenzo.posani@lps.ens.fr

TOMMASO REDAELLI

Graduated in 2019 with an internship on "Non Perturbative Renormalization Group Approach to Kraichnan Model: Calculation of the two point Correlation Function", supervisor: Prof.  Léonie Canet (LPMMC, Univ. de Grenoble)

Current position and activity: Ph.D. student on "Life and death of virtual copepods in turbulence", at the Institut de Recherche sur les phénomènes hors équilibre (Univ. Aix-Marseille), under the supervision of Prof. Christophe Eloy e Prof. Fabien Candelier

Contact: redaelli@irphe.univ-mrs.fr

DAVIDE ROMANIN

Graduated in 2017 with an internship on "Superconductivity in electrochemically gated diamond thin-films: ab-initio computations and experimental results" under supervision of Prof. R. Gonnelli (Politecnico di Torino, Italy) and Prof. M. Calandra (UPMC, Paris, France).

PhD cum Laude in 2021 at the Laboratory of Theoretical and Experimental Superconductive Tunnelling - Politecnico di Torino (Italy), with a thesis on "Electron-phonon interactions in low-dimensional carbon systems: superconductivity and charge-density waves" under supervision of prof. D. Daghero (Politecnico di Torino, Italy) and in collaboration with prof. M. Calandra (Università di Trento, Italy).

Current position and activity: Maitre des Conférences at Polytech, Université Paris-Saclay, working on first-principle calculations in low-dimensional systems, electron-phonon interaction, optical properties

Webpage: click here

Contact:  davide.romanin@universite-paris-saclay.fr

CHIARA SALVEMINI

Graduated in 2015 with an internship on 'Structured models for neural networks', at the Laboratory of Computational and Quantitative Biology (LCQB) of UPMC (Paris).

Current position and activity: Ph.D. student (COSMOS european joint PhD project n°15), working on 'Connection between biological rhythms and human health: exploring cardiac phase response curve in health prognoses', under the supervision of Maximilian Moser (Graz, MUG), Arkady Pikovsky and Michael Rosenblum (Potsdam, UP).

Contact: chiasalv90@gmail.com

ORAZIO SCARLATELLA

Graduated in 2016 with and internship on "Quantum phase transitions in open dissipative light matter systems", supervised by Dr. Marco Schirò, at the Institut de Physique Théorique (IPhT), CEA/Saclay, Paris.

Ph.D. in Physics received in 2019 at the Institut de Physique Théorique (IPhT), CEA/Saclay, Université Paris-Saclay, with a Ph.D. Thesis on “Driven-dissipative quantum many-body systems”, supervised by Dr. Marco Schirò

Current position and activity: EPSRC/STFC Stephen Hawking postdoctoral fellow in the Cavendish Laboratory, University of Cambridge.

Webpage: click here

Contact: os444@cam.ac.uk

MATTEO SESIA

Graduated in 2015 with an internship on 'Network Inference from Diffusion Observations', at the CMLA Research Center for Applied Maths - Ecole Normale Supérieure de Cachan, France. Ph.D. in Statistics at Stanford University, USA.

Current position and activity: Assistant Professor of Data Sciences and Operations, University of Southern California, Marshall School of Business (Los Angeles, CA, USA).

Webpage: click here

Contact: sesia@marshall.usc.edu

MICHELE SIMONCELLI

Graduated in 2016 with an internship on 'Molecular simulations of aqueous electrolytes in nanoporous carbon: blue energy and water desalination' at the Maison de la Simulation (CEA Saclay, Paris) and at the Laboratoire de Physicochimie des Electrolytes et Nanosystèmes interfaciaux (University Pierre et Marie Curie, Paris)

Current position and activity: Ph.D. student in the group of Theory and Simulation of Materials at the École Polytechnique Fédérale de Lausanne (Switzerland), working on Transport phenomena in low dimensional systems within the relaxon picture, under the supervision of Prof. Nicola Marzari.

Contact: michele.simoncelli@epfl.ch

STEFANO SPIGLER

Graduated in 2014 with an internship on 'Lattice models for glassy systems', at the Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS, Université Paris Sud).

Ph.D. in 2017 at the Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), Université Paris Sud, with a thesis on 'Avalanches in glassy systems', under the supervision of Prof. S. Franz

Current position and activity: Postdoc at the Ecole Polytechnique Fédérale de Lausanne, in the PCSL group of Prof. Matthieu Wyart, investigating fundamental properties of deep neural networks.

Contact: stefano@spigler.net

GAIA TAVONI

Graduated in 2012 with an internship on 'Neuronal correlations in equilibrium and nonequilibrium models' at the Laboratoire de Neurophysique et Physiologie, Université Paris Descartes. Ph.D. at the Laboratoires de Physique Statistique et Théorique - Ecole Normale Supérieure (Paris) with a Thesis on 'Cell assemblies in neuronal recordings: Identification and study through the inference of functional network models and statistical physics techniques', under the supervision of Profs. S. Cocco and R. Monasson.

Current position and activity: Swartz Foundation fellow for Theory in Neuroscience, University of Pennsylvania (USA)

Contact: tavoni@sas.upenn.edu ; gaia.tavoni@gmail.com