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
- 2024-03 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!
- 2022-12 Received Celonis Process Mining Academic Center of Excellence Award. Thank you Celonis!
- 2022-11 The paper "Forecasting Budget-Dependent CPCs: Learn From Your Competitors" with Fynn Oldenburg and Maximilian Kaiser is accepted at AAAI 2023 AI for Web Advertising Workshop
- 2022-10 Served as the session chair of "Medical Applicaitons" at the IEEE Data Science and Advanced Analytics 2022 (DSAA) conference.
- 2022-08 The paper "Understanding Heterogeneity of Investor Sentiment on Social Media: A Structural Topic Modeling Approach" with Rongjiao Ji is accepted at Frontiers in Artificial Intelligence.
- 2022-06 The paper "Camera Eats First: Exploring Food Aesthetics Portrayed on Social Media using Deep Learning" with Alessandro Gambetti is accepted at International Journal of Contemporary Hospitality Management.
- 2022-04 The paper "Predictive counterfactual using machine learning: the case of Airbnb and the COVID-19 pandemic" with Bernardo Forbes Costa and Carlos Santos is accepted at Eighteenth Symposium on Statistical Challenges in Electronic Commerce Research and the paper "How Food Images Posted by Restaurant Owners and Customers Differ on Social Media?: A Food Aesthetics Perspective" with Alessandro Gambetti is accepted at 8th International Conference on Computational Social Science.
- 2022-03 Initiated the project "MD2Trust: Trustworthy data science for improving healthcare efficiency: the case of the medical referral process" funded by Carnegie Mellon Portugal Explorative Research Project program, with Cláudia Soares (Nova School of Science and Technology), Yuejie Chi (CMU-ECE) and Haiyi Zhu (CMU-HCI).
- 2022-02 Concluded 23 master theses with talented students in collaboration with companies such as Celonis, Jerónimo Martins, KPMG Lighthouse Center of Excellence for Data Analytics, Samsung Portugal, among others. Congrats to all!
- 2022-01 Received generous support from Social Science Research Council to host the second edition of Summer Institute of Computational Social Science Lisbon (SICSS-Lisbon) with Filipa Reis (Católica Lisbon School of Business and Economics) in June 2022.