Joao Fonseca
Scholar

Joao Fonseca

Google Scholar ID: WcekujkAAAAJ
New York University
Data ScienceMachine Learning
Citations & Impact
All-time
Citations
411
 
H-index
8
 
i10-index
7
 
Publications
16
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Volunteered at DSSG Solve, where he was part of a team of 4 data scientists that used Twitter discourse to identify unmet needs following Cyclone Amphan, which affected 18 million people around the Bay of Bengal in May 2020; Developed pipelines for systematizing the preprocessing of Sentinel-2 satellite imagery for any given period, to automatically update LULC maps of the Portuguese mainland.
Research Experience
  • 2023-2024, Invited Assistant Professor at NOVA Information Management School, Lisbon, Portugal; Currently a Postdoctoral Researcher at New York University, working with Professor Julia Stoyanovich, Director of the Center for Responsible AI at Tandon School of Engineering (NYU); During his Ph.D., he also worked as a Research Intern at NYU Tandon School of Engineering, Center for Responsible AI, focusing on multi-agent algorithmic recourse over time.
Education
  • Ph.D.: October 2023, NOVA Information Management School, under the guidance of Professor Fernando Bação, focusing on synthetic data generation, with applications in imbalanced learning and active learning for Land Use/Land Cover classification tasks; M.Sc. in Information Management from NOVA Information Management School; M.Sc. in Management from NOVA School of Business and Economics.
Background
  • Research Interests: Fairness in machine learning pipelines, safety mechanisms for large language models, and explainability using Shapley values. Professional Field: Information Management.
Miscellany
  • Previously focused on studying the potential of big data in tourism management.