- Published over 50 peer-reviewed conference and journal articles (with over 7000 citations)
- Holds 10 patents granted by the U.S. patent office
- Served on the editorial board of the Journal of Machine Learning Research (JMLR) and Data Mining and Knowledge Discovery (DMKD) journal
- Participated in program committees of conferences such as ICML, KDD, ECML, and NeurIPS
Research Experience
- Worked as a researcher at IBM T.J. Watson Research Center after 2003
- Served as a professor at Federal Fluminense University, Brazil
- Joined IBM Research Brazil in 2011, currently a senior research manager of the Spatiotemporal Modeling group
Education
- PhD in Computer Science from the University of California, San Diego, 2003
Background
- Currently a senior research manager at IBM Research Brazil, leading the Spatiotemporal Modeling group
- The group's mission is to advance the state-of-the-art in the development, evaluation, and uncertainty characterization of spatiotemporal predictive and generative models, using data-driven machine learning approaches, physically-driven mathematical modeling approaches, as well as hybrid techniques combining both, with a focus on climate & sustainability applications
- Also co-leading a global IBM Research initiative on AI Modeling for Climate