cv

This is my long resume in digital form, click on the icon for the .pdf 1-page version.

Table of contents

General Info

Full Name Simone Maria Giancola
Date of Birth 6th September 1999
email simonegiancola09 dot gmail dot com
summary Research intern. Passionate about using theoretical methodologies to solve real world problems.
Languages English (proficient), Italian (mothertongue), Spanish (basic)

Education

  • Sep 2024- Present
    M2 in Probability and Statistics, Mathematics of Randomness
    Institut de Mathématique d’Orsay, Université Paris-Saclay, Paris, France
    • research masters
  • Aug 2021- Apr 2024
    Master of Science in Data Science, Data Science major
    Bocconi University, Milan, Italy
    • Grade 110 cum Laude/ 110
    • GPA 29/30
    • Thesis "A roadmap to Message Passing methods for inference on Mixed Generalized Linear Models, with emphasis on Mixed Noiseless Phase Retrieval"
    • Advisor Prof. Carlo Lucibello
    • relevant coursework
      • Ph.D. Real Analysis (Optimal Transport), Graph Theory, Statistical Physics
      • Advanced Machine Learning, Optimization, Stochastic Processes
  • Jan 2021 - May 2021
    Undergraduate Exchange Program
    Arizona State University, Tempe, AZ, USA
    • GPA 4.17/4.00
    • Graduate relevant coursework Quantum Computation, Modeling with Game Theory
  • Aug 2018- Jul 2021
    Bachelor of Science in Economics and Computer Science
    Bocconi University, Milan, Italy
    • Grade 110 Cum Laude / 110
    • Thesis “Value of Information in a Support Vector Machine, an exploration”
    • GPA 29.18 / 30 , STEM GPA 30.14 / 30
    • Relevant coursework Advanced Statistical Methods, Applied Mathematics, Machine Learning

Publications

  • May 2023
    Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
    Richtárik, Giancola, Lubczyk, Yadav
    • NeurIPS 2024 Workshop in Optimization

Service

  • NeurIPS 2024 (reviewer)
  • ICLR 2025 (reviewer)

Experience

  • Feb 2024 - May 2024
    Research Intern
    King Abdullah University of Science and Technology (KAUST), KSA
    • Advisor: Prof. Peter Richtárik
    • Convex Optimization, Conditioned Gradient Descent methods
  • Oct 2023 - Dec 2023
    Research Intern
    Ecole Normale Superieure (ENS), Paris, FRA
    • Advisor: Bruno Loureiro
    • Theory of Neural Networks, Stochastic Gradient Descent
  • Jun 2023 - Aug 2023
    Research Intern
    Institute of Science and Technology Austria (ISTA) Wien, AUT
    • Advisor: Prof. Marco Mondelli
    • Statistical to Computational Gaps, Information Theory, Algorithms, Message Passing
    • ISTernship Summer Programme, ref. num. MPC-2023-01128, financed by ISTA, awarded by the OeAD
  • Mar 2022 - Jun 2023
    Visiting Student
    Bocconi Institute for Data Science, Milan, ITA
    • Advisors Prof. Carlo Lucibello and Prof. Luca Saglietti, Computing Sciences Department
    • Reading, self-study, writing
  • Jan 2022 - Mar 2022
    Data Science Intern
    Santagostino Clinic, Milan, ITA
  • Jan 2021 - May 2021
    Research Assistant
    Bocconi University, Milan, ITA
    • Advisor Prof. Emanuele Borgonovo
    • Value of Information, Support Vector Machines
  • Jun 2020 - Aug 2020
    Summer Technology Analyst
    Barclays Bank PLC, Radbroke, UK

Academic Interests in Keywords

  • Mathematics, Statistics, Computer Science
  • Information Theory, Statistical Physics, Machine Learning
  • theoretical results, theory of learning, neural networks

Skills

  • Advanced Python, Latex, Sklearn, Numpy, Matplotlib, Scipy;
  • Certifications Deep Learning and AI for Medicine by DeepLearning.AI;
  • Intermediate Julia, Git, Unix, R, SQL, Matlab, C++, Keras, Tensorflow

Awards

  • First Italian School in Geometric Deep Learning, Funded MS student.
  • OeAD Scholarship, ref. num. MPC-2023-01128, financed by ISTA, awarded by the OeAD
  • Meritorious Award for volunteering during the COVID-19 Pandemic. Awarded by the Municipality of San Donato Milanese, Italy.

Interests

  • rugby
  • podcasts
  • running
  • motorbike trips