Academic

Publications

Cardoso-Silva, J., Sallai, D., Kearney, C., Panero, F., & Barreto, M. E. (2025). Mapping Student-GenAI Interactions onto Experiential Learning: The GENIAL Framework. SSRN Electronic Journal, 22.

Sallai, D., Cardoso-Silva, J., Barreto, M., Panero, F., Berrada, G., & Luxmoore, S. (2024). Approach Generative AI Tools Proactively or Risk Bypassing the Learning Process in Higher Education. LSE Public Policy Review, 3(3), 7.

Li, Y., Cardoso-Silva, J., Kelly, J. M., Delves, M. J., Furnham, N., Papageorgiou, L. G., & Tsoka, S. (2024). Optimisation-based modelling for explainable lead discovery in malaria. Artificial Intelligence in Medicine, 147, 102700.

De Bacco, C., Contisciani, M., Cardoso-Silva, J., Safdari, H., Lima Borges, G., Baptista, D., Sweet, T., Young, J.-G., Koster, J., Ross, C. T., McElreath, R., Redhead, D., & Power, E. A. (2023). Latent network models to account for noisy, multiply reported social network data. Journal of the Royal Statistical Society Series A: Statistics in Society, qnac004.

Luxmoore, S., Silva, J. C., & Ramaciotti, P. (2023, December). Emoji, Language Games and Political Polarisation. Fourth Conference on Computational Humanities Research.

Chavarro, J. P., Carvalho, J. T., Portela, T. T., & Silva, J. C. (2023). FakeTrueBR: Um corpus brasileiro de notícias falsas. Anais da XVIII Escola Regional de Banco de Dados (ERBD 2023), 108–117.

Da Costa Avelar, P. H., Del Coco, N., Lamb, L. C., Tsoka, S., & Cardoso-Silva, J. (2022). A Bayesian predictive analytics model for improving long range epidemic forecasting during an infection wave. Healthcare Analytics, 2, 100115.

Andrade Junior, J. E., Cardoso-Silva, J., & Bezerra, L. C. T. (2021). Comparing Contextual Embeddings for Semantic Textual Similarity in Portuguese. In A. Britto & K. Valdivia Delgado (Eds.), Intelligent Systems (Vol. 13074, pp. 389–404). Springer International Publishing.

Tse, E. G., Aithani, L., Anderson, M., Cardoso-Silva, J., Cincilla, G., Conduit, G. J., Galushka, M., Guan, D., Hallyburton, I., Irwin, B. W. J., Kirk, K., Lehane, A. M., Lindblom, J. C. R., Lui, R., Matthews, S., McCulloch, J., Motion, A., Ng, H. L., Öeren, M., … Todd, M. H. (2021). An Open Drug Discovery Competition: Experimental Validation of Predictive Models in a Series of Novel Antimalarials. Journal of Medicinal Chemistry, 64(22), 16450–16463.

Cardoso-Silva, J., Papageorgiou, L. G., & Tsoka, S. (2019). Network-based piecewise linear regression for QSAR modelling. Journal of Computer-Aided Molecular Design, 33(9), 831–844.

Cardoso-Silva, J., Papadatos, G., Papageorgiou, L. G., & Tsoka, S. (2019). Optimal Piecewise Linear Regression Algorithm for QSAR Modelling. Molecular Informatics, 38(3), 1800028.

Silva, J. C., Bennett, L., Papageorgiou, L. G., & Tsoka, S. (2016). A mathematical programming approach for sequential clustering of dynamic networks. The European Physical Journal B, 89(2), 39.

Talks and Public Engagement

Date Event Role Venue
Mar 2026 PIE Live Europe: Ask me anything about AI (digital fight club) Panel The Brewery, London
Dec 2025 PIE Live North America: Moving AI from pilot to scale in higher education Workshop (with Nick Gilbert, LSE CIO) Chicago, IL
Oct 2025 AI in Education Showcase: A custom Claude project setup with time-sensitive learning boundaries Speaker LSE Eden Centre
Oct 2025 Cambridge Generative AI in Education Conference (2nd ed.) Speaker University of Cambridge
Jun 2025 St Mary’s Festival of Learning and Teaching Keynote St Mary’s University, London
Jun 2025 Intelligent Futures: AI and the Transformation of Society Masterclass (3 days) Fundación Ramón Areces, Madrid
Jun 2025 Harnessing AI: Safeguarding High-Integrity Data for Climate Action Chair LSE, London Climate Action Week
May 2025 DELab UW Conference: GenAI in Higher Education Speaker University of Warsaw
May 2025 How university students use AI: Anthropic Education Report Co-organiser, panel LSE
Apr 2025 AI and Language Learning and Teaching Panel King’s College London & LSE
Mar 2025 The future of AI with Gary Marcus Chair LSE
Oct 2024 Cambridge Generative AI in Education Conference (1st ed.) Speaker University of Cambridge
Jul 2024 Teaching and Learning Conference: Future-Focused Education Speaker Advanced HE, Nottingham
Jun 2024 Brave New Words: AI in Education with Sal Khan Chair LSE
May 2024 Generative AI and the Knowledge Economy Chair LSE & Imperial College London

Teaching

Course Level Description
DS105DS105 Undergraduate Data for Data Science. Terminal, APIs, data cleaning, pandas, collaborative GitHub workflows.
DS205DS205 Undergraduate Advanced Data Manipulation. REST APIs, web scraping, NLP, RAG pipelines. Capstone with TPI Centre.
ME204ME204 Summer School Data Engineering for the Social World. Intensive three-week bootcamp.
AI Leadership Accelerator Executive Education Six-month online programme. AI strategy, implementation, leadership. Ran by LSE Online, in collaboration with the LSE Department of Management.