cv
this is a summary of my CV beyond projects and publications
Basics
| Full Name | Gianluigi Lopardo |
| gianluigilopardo@gmail.com | |
| Location | Frankfurt am Main, Germany |
| Languages | Italian, English, French |
Professional Experience
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Jul 2025-present Frankfurt, Germany
Research Analyst
European Central Bank - Research and development of machine learning methods for macroeconomic forecasting and policy analysis, exploiting non-traditional data sources
- Leading oil price forecasting project using LLMs to analyze market reports and developing econometric framework for forecast evaluation
- Developing AI tools to strengthen the division's analytical framework
- Providing analytical support to multiple division projects, e.g., the analysis of US tariff threats and cross-border payment costs with stablecoins
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Oct 2024-May 2025 Frankfurt, Germany
PhD Trainee
European Central Bank - Research and development of machine learning methods for financial markets and policy analysis, exploiting non-traditional data sources
- Led research project developing firm-level AI exposure measures using textual analysis, examining impact on financial performance
- Co-authored ECB Working Paper (under journal submission) and VoxEU column, presenting findings at internal seminars
- Proposed and developed Trump Tariff Threats Index from analysis of tweets, subsequently integrated into division's policy analysis toolkit
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2021-2024 Nice, France
Doctoral Researcher
Inria & Université Côte d'Azur - Thesis: Foundations of Machine Learning Interpretability, awarded the Young Researcher Prize 2025 by Métropole Nice CdA for "high quality" PhD thesis
- Supervisors: Prof. Damien Garreau and Prof. Frédéric Precioso (UCA/Inria)
- In-depth mathematical research on interpretability methods for machine learning models and algorithms
- Developed novel interpretability approaches resulting in high-quality publications in top venues, such as ICML, AISTATS, and ECML
- Presented research at international ML conferences including ICML 2024 (Vienna), AISTATS 2023 (Valencia), ECML 2022 (Grenoble), XAIE @ ICPR 2022 (Montreal)
- Invited talks at Cognizant AI, Maasai (Sophia Antipolis), AI4Media (Florence)
- Reviewer for AISTATS, ECML, KGML workshop
- Co-organized NWI Workshop on Interpretability (2022, 2023)
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Sep 2021-Aug 2024 Nice, France
Teaching Assistant
Université Côte d'Azur - Led theoretical and practical instruction in mathematics and statistics
- Delivered lectures for undergraduate and graduate courses in French, including students from economics disciplines
- Supervised labs, developed teaching materials, managed assessments
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Mar 2021-Sep 2021 Sophia Antipolis, France
AI Research Intern
Maasai Team, Inria - Research on explainable AI for business decision-making
- Developed the SMACE interpretability method and Python package for composite decision systems, resulting in a first-authored publication
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Sep 2020-Feb 2021 Sophia Antipolis, France
ML Engineer Intern
Alten - R&D of computer vision solutions to automate document processing
- Developed and optimized computer vision pipelines to automate document digitization and information extraction
Education
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2021-2024 Nice, France
Ph.D. in Applied Mathematics
Inria & Université Côte d'Azur - Thesis: Foundations of Machine Learning Interpretability, awarded the Young Researcher Prize 2025 by Métropole Nice CdA for "high quality" PhD thesis
- Supervisors: Prof. Damien Garreau and Prof. Frédéric Precioso (UCA/Inria)
- In-depth mathematical research on interpretability methods for machine learning models and algorithms
- Developed novel interpretability approaches resulting in high-quality publications in top venues, such as ICML, AISTATS, and ECML
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2019-2021 Turin, Italy
M.Sc. in Mathematical Engineering
Politecnico di Torino - Thesis: Explainable AI for business decision-making
- Supervisors: Prof. Elena Maria Baralis (PoliTo), Prof. Damien Garreau (UCA/Inria), Prof. Frédéric Precioso (UCA/Inria), Dr. Greger Ottosson (IBM)
- M.Sc. focus on statistical data science, mathematical modeling and optimization, machine learning, risk management, financial engineering
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2016-2019 Turin, Italy
B.Sc. in Applied Mathematics
Politecnico di Torino - Thesis: Quantitative and qualitative analysis on the relation between innovation and economic performances in companies
- Supervisor: Prof. Federico Caviggioli (PoliTo)
- B.Sc. focus on core applied mathematical areas including probability, statistics, scientific computing, and programming
Teams
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2019-2022 Turin, Italy
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Nov 2017-Nov 2018 Turin, Italy
Deputy Head of IT
JEToP - Directed IT projects and oversaw the IT team to support organizational goals
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Nov 2016-Nov 2017 Turin, Italy
IT Consultant
JEToP - Led IT projects and development for student-run Junior Enterprise
- Created websites and applications for both internal use and clients
Teaching
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2023-2024 Nice, France
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2023-2024 Nice, France
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2023-2024 Nice, France
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2022-2023 Nice, France
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2022-2023 Nice, France
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2021-2022 Nice, France
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2021-2022 Nice, France
Technical Skills
| Programming Languages | Python (advanced), R, MATLAB (proficient), Julia, Stata (intermediate), SQL, C, Java (base) |
| Machine Learning & NLP | Language Models (OpenAI, Azure, Ollama), retrieval-augmented generation (LangChain, vector DBs), transformer architectures (PyTorch, Hugging Face), interpretability methods, sentiment analysis, topic modeling |
| Econometrics & Statistics | Time-series analysis and forecasting, forecast evaluation, risk quantification, causal inference (DiD, panel methods, PSM), statistical inference and pre-asymptotic statistics |