I am Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics. Before that, I received Ph.D. in Engineering and Public Policy and M.S. in Information Networking from Carnegie Mellon University.
My research is at the intersection of econometrics and machine learning, using complex data-driven approaches in areas including
- Applied data science in social good, such as healthcare, education, tourism
- Consumer behavior in both online and offline channel
- ICT management and policy
Updates
- 2025-05 The paper C-PATH: Conversational Patient Assistance and Triage in Healthcare System with Qi Shi and Claudia Soares is accepted at IEEE International Conference on Digital Health (ICDH)
- 2025-04 Three paper presentations on multilingual gap in LLM-based news recommender system, role of image-text content congruence on review inconsistency and impact of Chatgpt on user search behavior are accepted at Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2025) Stay tuned with working papers.
- 2024-10 The paper "Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection" with Luca Silvano Carocci is accepted at IEEE International Conference on Big Data (BigData 2024)
- 2024-07 The paper "Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape" with Fynn Oldenburg and Maximilian Kaiser is accepted at 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024)
- 2024-06 Bernardo Forbes Costa successfully defended his dissertation in Ph.D. in Economics!
- 2024-03 The paper "AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media" with Alessandro Gambetti is accepted at 18th International AAAI Conference on Web and Social Media (ICWSM) Dataset Track
- 2024-01 The paper "Optimizing Product Matching in E-commerce:A Strategic Perspective on Precision-Recall Trade-off" with Miguel Rocha, Victor Høgheim, Miguel Almeida, Alex Theilmann, José Silva, Alessandro Gambetti, and Maximilian Kaiser is accepted at 5th Digital Marketing & eCommerce Conference
- 2023-07 The paper "Dissecting ΑΙ-Generated Fake Reviews: Detection and Αnalysis of GΡΤ-Βased Restaurant Reviews on Social Μedia with Alessandro Gambetti is accepted at International Conference on Information Systems (ICIS)
- 2023-05 The paper "Towards Privacy-Preserving Digital Marketing: An Integrated Framework for User Modeling using Deep Learning on a Data Monetization Platform" with Carolina Lucas, Εmila Αguiar, Ρatrícia Μacedo, and Ζhen Ζe Wu is accepted at Electronic Commerce Research
- 2023-04 The paper "AI Crowdturfing on Yelp: Identifying Patterns in Machine-Generated Fake Reviews" with Alessandro Gambetti is accepted at The International Conference for Computational Social Science (IC2S2)
- 2023-03 The paper "Estimating Global Bilateral Music Flows in the Streaming Age: The Role of Distance Measures" with Sunniva Hermann is accepted at 2023 Annual Meeting of Academy of Management (AoM)
- 2023-02 Published the updated Nova SBE Data Science Knowledge Center report "Impact of Covid-19 on Tourism and Hospitality: Evidence from Airbnb" and received 10+ Portuguese press coverage, such as Circuito Mundo, Dinheiro Vivo, Folha Nacional, Notícias ao Minuto, Opcao turismo, Publituris, Revista Business Portugal, Sapo, TNews, Vida Economica and more.
- 2023-01 Concluded 19 master theses for business analytics. Congrats to all!
- 2023-01 Received Oracle for Research Grant Thank you Oracle!