Giulia Mezzadri

Postdoctoral research at The Cognition and Decision Lab at Columbia University

International Affairs Building, 420 West 118th Street, New York, NY 10027

Email: gm3026@columbia.edu

Profiles: LinkedIn

Research Topics: decision making, human category learning, order presentation, artificial neuronal network

Education

  • 2021 - now: Postdoctoral research at The Cognition and Decision Lab - Columbia University, New York (United States)

  • 2019 - 2021: Temporary Teaching and Research Assistant (A.T.E.R.) in Mathematics - Université Côte d’Azur, Nice (France).

  • 2016 - 2020: Ph.D. in applied mathematics and cognitive psychology - Université Côte d’Azur, Nice (France). Laboratories: J.A. Dieudonné (LJAD) and Bases Corpus Langage (BCL). Thesis: Statistical inference for categorization models and presentation order. Supervisors: Patricia Reynaud-Bouret, Fabien Mathy, and Thomas Laloë-Verdelhan. Thesis defended on 11 December 2020. [slides]

  • 2012 - 2016: Master’s degree in Mathematics (Laurea Magistrale) - Università di Pisa (Italy). Thesis: Some probabilistic models of neural action potentials and neural networks. Supervisors: Franco Flandoli and Patricia Reynaud-Bouret.

  • Mar. - May 2016: Internship in France, Université de Nice - Sophia Antipolis (France). Laboratory: J.A. Dieudonné (LJAD), interdisciplinary axis of Theoretical and Computational Modelling in Neuroscience and Cognitive Science (MTC-NSC).

  • Jan. - Jun. 2015: Erasmus Program in France, Université de Rennes 1 (France). Topics: cryptography and error-correcting codes.

  • 2008 - 2012: Bachelor’s degree in Mathematics (Laurea Triennale) - Università degli studi di Milano-Bicocca (Italy). Thesis: Descrizione probabilistica delle reazioni chimiche - Probabilistic description of chemical reactions. Supervisors: Francesco Caravenna and Luca De Gioia.

Publications and Preprints

  • A. Moongathottathil-James, G. Mezzadri, F. Sargolini, P. Reynaud-Bouret, I. Bethus, A. Muzy. Do rats learn by paths or by turns when exploring a maze? Determining and predicting automatically the actions involved in the learning process. In preparation 2021. [HAL]

  • G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret. How to fit transfer models to learning data: a segmentation/clustering approach. In preparation 2021.

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy. Investigating interactions between types of order in categorization. Preprint 2021. Submitted. [PDF] [HAL]

  • G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret. Hold-out strategy for selecting learning models: application to categorization subjected to presentation orders. Preprint 2021. Submitted. [PDF] [HAL]

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy. An order-dependent transfer model in categorization. Preprint 2021. Submitted. [PDF] [HAL]

  • G. Mezzadri. Statistical inference for categorization models and presentation order. PhD thesis, Université Côte d'Azur, December 2020. [PDF] [TEL]

  • G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy. Classification de patterns de catégorisation chez l'humain par deux modèles d'apprentissage. Conference paper. JDS 2020, 52-ièmes journées de Statistique de la Société Française de Statistique (SFdS). Pages 571-576. [PDF]

  • G. Mezzadri. Some probabilistic models of neural action potentials and neural networks. Master thesis, Università di Pisa, September 2016. [PDF]

  • G. Mezzadri. Descrizione probabilistica delle reazioni chimiche (Probabilistic description of chemical reactions). Bachelor thesis, Università degli studi di Milano-Bicocca, November 2012. [PDF]

Talks and Posters

  • Inauguration of NeuroMod Institute. Online event, 22 March 2021. [poster]

  • PhD student symposium at Bases Corpus Langage laboratory (BCL). Nice (France), 5 July 2018. [slides]

  • 2nd meeting of C@UCA. Fréjus (France), 14-15 June 2018. [poster]

  • PhD student symposium of the doctoral school SFA. Nice (France), 29 May 2018. [poster]

  • PhD student symposium at J.A. Dieudonné laboratory (LJAD). Nice (France), 3 October 2017. [slides]

  • 1st meeting of C@UCA. Fréjus (France), 6-8 June 2017. [slides]

Conferences and Summer Schools

  • 1st meeting of NeuroMod Institute. Fréjus (France), 1-2 July 2019.

  • Ninth European Working Memory Symposium (EWOMS-9). Pavia (Italy), 29-31 August 2018.

  • Mathematical Modeling in Neuroscience. Svaneke (Danemark), 26-30 June 2017.

  • Journées Louis Antoine (16th edition). Rennes (France), 30-31 March 2017.

Teaching (in French)

  • 2020 - 2021 (2nd semester): Advanced mathematics 2 (40 hours), Bachelor 1, Department of Mathematics, Université Côte d'Azur.

  • 2020 - 2021 (2nd semester): Linear Algebra - intensive revision course (20 hours), Parcours Oui-Si, Department of Mathematics, Université Côte d'Azur.

  • 2020 - 2021 (1st semester): Statistics 1 (36 hours), Bachelor 1, Institut Supérieur d'Economie et Management, Université Côte d'Azur.

  • 2019 - 2020 (2nd semester): Linear Algebra - intensive revision course (20 hours), Parcours Oui-Si, Department of Mathematics, Université Côte d'Azur.

  • 2019 - 2020 (1st semester): Statistics 2 (18 hours), Bachelor 2, Institut Supérieur d'Economie et Management, Université Côte d'Azur.

  • 2019 - 2020 (1st semester): Basic Mathematics (40 hours), Parcours Oui-Si, Department of Mathematics, Université Côte d'Azur.

  • 2019 - 2020 (1st semester): Methodology of Mathematics (20 hours), Parcours Oui-Si, Department of Mathematics, Université Côte d'Azur.

Scientific Animation

  • French Science Week - Fête de la Science 2019. Practical workshop on mathematical games regarding different topics (machine learning, graph theory, ancient computational instruments, lung's geometry etc.). In particular, I collaborated with Cyrille Mascart and Marc Monticelli to the creation of a playful activity about machine learning. Castle of Nice, Nice (France), October 2019. [post]

  • French Science Week - Fête de la Science 2018. Practical workshop on fractals, Plato's solids, and the Sierpinski's triangle for middle school students. Louis Nucera Library, Nice (France), October 2018. [post]

  • Festival Biennal Movimenta 2017. Workshop on the interaction between science and video games. Le 109, Nice (France), November 2017.

  • French Science Week - Fête de la Science 2017. Organization of an escape math lab (an escape game based on the resolution of mathematical games and problems). Laboratoire J.A. Dieudonné, Nice (France), October 2017. [post]

  • Conference "Learning how to breathe, the science of well-being". Workshop on virtual reality in collaboration with the CHU of Nice. Parc Valrose, Nice (France), October 2017.

Languages

  • Italian: Native language.

  • French: Bilingual level.

  • English: Advanced level.

  • Japanese: Beginner level.

Computer

  • Advanced knowledge: R, LaTeX, Beamer, TikZ, Matlab, Inkscape, Gimp, Psychopy.

  • Basic knowledge: Python, Java, C++, Office.