Prof. Dr. Lucia Gomez Teijeiro

• Research - Applied Data Science and Artificial Intelligence for Finance

• Teaching - Lecturer Data-Driven Visualization for decision making

• Teaching - Lecturer Forecasting and Interactive Apps

• Teaching - Lecturer Advanced Analytics for Decision Making

• Teaching Coordinator - Applied Artificial Intelligence Specialization

• Teaching - Artificial Intelligence in Industry

• Teaching - Data Masters Module

• Teaching - Digital Finance and Banking

• Supervision - Bachelors and Master thesis supervisor (Digital Business and Business Administration)

• Supervision - Supervised Professional Experience

• Invited lecturer in Financial Instruments course

• Researcher in MSCA Industrial Doctoral Network on Digital Finance

• BSc International Business Administration

• BSc Business Information Technology

• MSc Business Administration

• Digital Finance & Banking

• Advanced Analytics for Decision-Making

• Forecasting and interactive apps

• Data-driven visualization for decision-making

• AI Applications in Industry

• Data Science and Artificial Intelligence Applications

• Agent Systems

• Digital Finance

• Philanthropy

• Social Sciences

• Management

• Neuroscience

• 15.05.2024-current Lecturer tenure-track Bern University of Applied Sciences
• 08.2024 - current Senior Lecturer and Researcher University of Geneva, GFRI
• 10.2022 - 08.2024 PostDoc University of Geneva, GFRI
• 12.2017-10.2022 PhD Research Assistant University of Geneva, CMU
• 11.2019-09.2022 Research Assistant University of Geneva, GFRI
• 03.2020-04.2021 Research Assistant University of Geneva, Centre Interfacultaire des Sciences Affectives

• 12.2017-10.2022 PhD in Neurosciences University of Geneva
• 09.2015-02.2017 Masters in Neurosciences University of Geneva
• 09.2008-07.2013 Bachelors in Psychology University of Santiago de Compostela

• 2023 - Nanodegree in Artificial Intelligence programming with Python (AWS + Udacity)
• 2021 - Professional Data Scientist Certification (DataCamp)

• Tudor, M. C., Gomez Teijeiro, L., Giovampaola, C. D., Halopé, H., & Ugazio, G. (2024). Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy (T. Walker, S. Wendt, S. Goubaran, & T. Schwartz, Eds.). palgrave macmillan. https://arbor.bfh.ch/handle/arbor/37406

• Gomez Teijeiro, L., Cadilhac, C., Prados, J., Mule, N., Jabaudon, D., & Dayer, A. (2023). Developmental emergence of cortical neurogliaform cell diversity. In Development (Vol. 150, Issue 15). The Company of Biologists. https://doi.org/10.24451/arbor.22048

• Fossati, G., Kiss-Bodolay, D., Prados, J., Chéreau, R., Husi, E., Cadilhac, C., Gomez Teijeiro, L., Silva, B. A., Dayer, A., & Holtmaat, A. (2023). Bimodal modulation of L1 interneuron activity in anterior cingulate cortex during fear conditioning. In Frontiers in Neural Circuits (Vol. 17). Frontiers Research Foundation. https://doi.org/10.24451/arbor.22049

• Gomez Teijeiro, L., & Maillart, T. (2023). Trends in Open Source Software for Data Protection and Encryption Technologies (V. Mulder, A. Mermoud, V. Lenders, & B. Tellenbach, Eds.). Springer Nature Switzerland. https://doi.org/10.24451/arbor.22047

• Frazer, S., Prados, J., Niquille, M., Cadilhac, C., Markopoulos, F., Gomez Teijeiro, L., Tomasello, U., Telley, L., Holtmaat, A., Jabaudon, D., & Dayer, A. (2017). Transcriptomic and anatomic parcellation of 5-HT3AR expressing cortical interneuron subtypes revealed by single-cell RNA sequencing. In Nature Communications (Vol. 8, Issue 1). https://doi.org/10.24451/arbor.22051

• Baldassari, S., Klingler, E., Teijeiro, L.G. et al. Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia. Nat Neurosci 28, 964–972 (2025). https://doi.org/10.1038/s41593-025-01936-z

• Maillart Thomas, Gomez Lucia, Lombard Ewa, Nolte Alexander and Pisano Francesco 2024Computational diplomacy: how ‘hackathons for good’ feed a participatory future for multilateralism in the digital agePhil. Trans. R. Soc. A.38220240103
  http://doi.org/10.1098/rsta.2024.0103

• Della Giovampaola, C., Tudor, M. C., Gomez, L., & Ugazio, G. (2023). Current and potential ai use in Swiss philanthropic organizations—Survey results. Swiss Foundations.

• Miendlarzewska, E., Anastasaki, A., Teijeiro, L. G., Maillart, T., & Ugazio, G. (2022). Play and work for greater good: the case of hackathons.

• T. Maillart, L. Gomez, M. Sharada, D. Chakraborty, and S. Nanavati, “Altruistic collective intelligence for the betterment of artificial intelligence,” in The Routledge Handbook of Artificial Intelligence and Philanthropy. Routledge, 2024, pp. 344–360, Part of ISBN: 9781003468615, Part of https://doi.org/10.4324/9781003468615

• Lea,M & Gomez, L. (2024). Digital Stunt Philanthropy: Mechanisms, impact, and ethics of using social media influencing for the greater good. The Routledge Handbook of Artificial Intelligence and Philanthropy. Routledge.

• European Research network on philanthropy

• Open Geneva Association

• Université Populaire du Canton de Genève

• Association for Research on Nonprofit Organizations and Voluntary Action

ARNOVA’s Emerging Scholars Fund is given to ten (10) applicants annually to recognize the potentials of the next generation of nonprofit scholars and practitioners. This fund is designed to support the efforts of emerging scholars and practitioners to foster dissemination of research into practice and enhance involvement in the creation of usable knowledge.

During the virtual ERNOP Conference 2021, the award for the best conference paper went to Lucia Gomez Teijeiro and Giuseppe Ugazio their work on ‘Mapping the Swiss Philanthropy Sector Through Big Data’.

Last year, almost 290 papers were eligible for this prize and the editor team whittled this down to a shortlist of 16 (listed below); from these, we selected two joint winners and a runner-up. "Developmental emergence of cortical neurogliaform cell diversity" by Gomez, L. et al., was among the 16 shortlisted.

• Abilash Sivananthan The Impact of Present Bias In Low-Income Earners’ Credit Card & Personal Loan Management 2024

• Vladyslav Gorbunov AI-Driven Project Management: An Empirical Study on Automated Policy Compliance and Strategic Alignment in Technological IT Projects 2024

• Cyril Scheurmann The Influence of AI-Driven Predictive Analytics on Investment Strategies and Portfolio Management 2025

• Giada Pascarella Convergence and Conflict of Artificial Intelligence Regulatory Frameworks in the European Union, China and the United States 2025

• Mohammed-Amin Ismailov Fintech before and after the EU AI law: a Network study on the transformation of the sector 2025

• Mykhailo Melnychuk Cognitive Biases in Cryptocurrency Narratives and Decision-making 2025

• Nithurjan Ayadurai, Sergei Güdel Tortoza Towards a Business Model and Plan Tackling Parking Space Optimized Re-allocation 2025

• Roman Kryvoruchko The Predictive Analytics Models for Valuation and Risk Assessment in M&A 2025

• Thanusan Aiyadurai Iyer Presentation of the development of AI solutions for Financial Risk Management: Lessons from the past for a better Future 2025

• Dylan Ecoffey The path to Open Finance: Exploring bank willingness to share financial data in Switzerland 2025

• English - Full professional proficiency
• Spanish - Native or bilingual proficiency
• French - Full professional proficiency
• Galician - Native or bilingual proficiency
• Italian - Elementary proficiency
• German - Elementary proficiency