April 1st Seminar
Climate Adaptation in the AI Era
Claudio Battiloro (Postdoctoral Research Fellow, National Studies on Air Pollution and Health, Harvard T.H. Chan School of Public Health)
In conversation with Roberta De Vito, Brown Biostatistics and Data Science Institute
Climate change is intensifying natural hazards and exacerbating inequities, with wide-ranging effects on health, society, and economies. AI and ML can empower resilience—by enabling data-driven planning, equitable interventions, and resource management—but they are also heightening the urgency to address the technology’s environmental footprint. To balance these dual goals, we must bridge technical gaps, such as handling complex, large-scale, and misaligned spatiotemporal data, and adopt a holistic vision that emphasizes both AI for resilience and resilience to AI.
Bio: Claudio Battiloro is a Postdoctoral fellow at the Harvard T.H. Chan School of Public Health and a former Visiting Associate at the SEAS of the University of Pennsylvania. He received a M.Sc. cum laude in Data Science and a Ph.D. cum laude in Information and Communication Technologies from Sapienza University of Rome. Claudio’s research interests include (broadly) AI for Health and Climate, theory and methods for topological signal processing and deep learning, and distributed stochastic optimization. He has over 30 publications, including papers published in top-tier journals (e.g., Journal on Machine Learning Research, IEEE Transactions on Signal Processing, IEEE Transactions on IoT and IEEE Transaction on Green Communications and Networking) and conferences (e.g. ICLR, ICML ,ICASSP, and IJCNN). Claudio received different awards, such as the IEEE SPS Italian Chapter Best M.Sc. Thesis Award (2020), and the GTTI Best Ph.D. Thesis Award (2024).
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Data Matters is intended to stimulate conversations and collaboration by bringing multiple perspectives to challenging data-driven problems and talks are structured to be more of an interactive experience than traditional academic seminars. Data Matters includes scholars with backgrounds in the physical, biological, computational, and social sciences who share their perspectives on why data matters.
Held on select Tuesdays at 3:00pm at the Data Science Institute.