Basics
Full Name Gianluigi Lopardo
Location Frankfurt am Main, Germany
Languages Italian, English, French
Professional Experience
- Jul 2025-present
Frankfurt, Germany
Research Analyst
- 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
- Oct 2024-May 2025
Frankfurt, Germany
PhD Trainee
- 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
- 2021-2024
Nice, France
Doctoral Researcher
- 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)
- Sep 2021-Aug 2024
Nice, France
Teaching Assistant
- 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
- Mar 2021-Sep 2021
Sophia Antipolis, France
AI Research Intern
- 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
- Sep 2020-Feb 2021
Sophia Antipolis, France
ML Engineer Intern
- R&D of computer vision solutions to automate document processing
- Developed and optimized computer vision pipelines to automate document digitization and information extraction
Education
- 2021-2024
Nice, France
Ph.D. in Applied Mathematics
- 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
- 2019-2021
Turin, Italy
M.Sc. in Mathematical Engineering
- 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
- 2016-2019
Turin, Italy
B.Sc. in Applied Mathematics
- 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
- 2019-2022
Turin, Italy
- Nov 2017-Nov 2018
Turin, Italy
Deputy Head of IT
- Directed IT projects and oversaw the IT team to support organizational goals
- Nov 2016-Nov 2017
Turin, Italy
IT Consultant
- Led IT projects and development for student-run Junior Enterprise
- Created websites and applications for both internal use and clients
Teaching
- 2023-2024
Nice, France
- 2023-2024
Nice, France
- 2023-2024
Nice, France
- 2022-2023
Nice, France
- 2022-2023
Nice, France
- 2021-2022
Nice, France
- 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