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
- 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!