cv
This is my long resume in digital form, click on the icon for the .pdf 1-page version.
Table of contents
- General Info
- Education
- Publications
- Service
- Experience
- Academic interests in keywords
- Talks
- Teaching
- Skills
- Awards
- Interests
General Info
full name | Simone Maria Giancola |
date of birth | 6th September 1999 |
simonegiancola09 dot gmail dot com | |
summary | Researcher. Passionate about using theoretical methodologies to solve real world problems. |
languages | English (proficient), Italian (mothertongue), French (Intermediate), Spanish (basic) |
Education
-
Nov 2025- Present PhD student in Statistics
Institut de Mathématique d’Orsay, Université Paris-Saclay, Paris, France - Advisors Prof. Christophe Giraud, DR Nicolas Verzelen (INRAE Montpellier)
- Statistical-to-computational gaps; low-degree method
- funded by programme blanc of Université Paris-Saclay
- hosted in the Ecole Doctorale de Mathématique Hadamard (EDMH)
- Relevant coursework: high-dimensional statistics, concentration of measure, inference on random graphs
-
Sep 2024- Sep 2025 M2 in probability and statistics, mathematics of randomness (MDA)
Institut de Mathématique d’Orsay, Université Paris-Saclay, Paris, France - research master's
- Relevant coursework: high-dimensional statistics, concentration of measure, inference on random graphs
-
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. coursework 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)
- Prison Mathematics Project (mentor)
Experience
-
Apr 2024 - present Research intern
Institut de Mathématiques d'Orsay (IMO), Paris, FRA - Advisors: Prof. Christophe Giraud, DR Nicolas Verzelen, Prof. Alexandra Carpentier
- Statistical to computational gaps, inference, hypothesis testing
-
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
École Normale Supérieure (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
Talks
{"title"=>"Local curvature descent", "institution"=>"KAUST", "year"=>2024, "description"=>["Research lecture for CS 331 Stochastic gradient descent methods"]}{"title"=>"Information-theoretic and algorithmic limits of mixed linear regression", "institution"=>"IST Austria", "year"=>2024, "description"=>["Group seminar"]}{"title"=>"Information-theoretic and algorithmic limits of mixed linear regression", "institution"=>"ENS Paris", "year"=>2023, "description"=>["Séminaire des doctorants"]}
Teaching
{"title"=>"Analysis", "institution"=>"IUT Orsay", "year"=>2026, "description"=>["Teaching assistant, R209", "two classes"]}{"title"=>"Graph Theory", "institution"=>"IUT Orsay", "year"=>2026, "description"=>["Teaching assistant, R207", "two classes"]}
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
- selected for the 12th Heidelberg Laureate Forum in mathematics and computer science.
- 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