CV
Education
- 2020-present: Bocconi University (Milan, Italy), PhD in Statistics and Computer Science
- 2018-2020: Bocconi University (Milan, Italy), M.Sc. in Business Analytics and Data Science
- Grade: 110/110 “Cum Laude”
- Research Thesis on “Constructing protein embeddings using TWEC model”
- 2014-2018: Higher School of Economics (Moscow, Russia), B.Sc. in Economics
- Grade: 9.04/10 “Cum Laude”
- Research Thesis on “Predicting time series data with hybrid models based on LSTM and wavelet transform”
Summer schools and workshops
- Jun 2022: Como summer school (probability and causal methods)
- Aug 2022: ESSLLI summer school, Galway (logic and NLP)
- Dec 2022: CompBio workshop, Milan (computational biology)
Work experience
- Nov 2022 - Feb 2023 : Special collaboration project in Alkemy company
- developing an anomaly detection module using statistical methods
- Feb 2023 - present : Teaching Assistant on “Machine learning”, BEMACS BSc program
- Sep 2022 - Dec 2022 : Teaching Assistant on “Game Theory”, elective course in BSc program
- Sep 2022 - Dec 2022 : Teaching Assistant on “Computer Programming”, BAI BSc program
- Sep 2021 - Dec 2021 : Teaching Assistant on “Computer Programming”, BAI BSc program
- Feb 2022 - Jun 2022: Teaching Assistant on “Machine Learning”, DSBA MSc program
- Sep 2019 - June 2020: Research Assistant in ARTLAB Bocconi
- running experiments on alternative optimization techniques and analyzing their effects on robustness against adversarial examples of images
- improving the robustness of Deep Q-Learning methods
- Nov 2018 - Mar 2019 Intern Data Scientist in Quick Algorithm company
- developing models for the Scops analytical platform
Skills
Programming Languages:
- Python/Julia/C/C++/R/bash
Languages:
- Russian (Native)
- English (Advanced)
- Italian (Upper-Intermediate)
- French (Intermediate)
Publications
Pittorino, Fabrizio, et al. “Entropic gradient descent algorithms and wide flat minima.” Journal of Statistical Mechanics: Theory and Experiment 2021.12 (2021) (ICLR conference)