I’m an Assistant Professor and Research Scientist in the Institute of Computing at the University of Campinas (UNICAMP), Brazil. I’m also a faculty member of the recod.ai (Artificial Intelligence Lab).
Assistant Professor, 2017 — present
University of Campinas, Institute of Computing
Postdoctoral Researcher, 2013 — 2017
University of Campinas, School of Electrical and Computer Engineering
Ph.D. in Computer Science, 2013
Sorbonne Université (UPMC Paris 6, France) & Federal University of Minas Gerais (UFMG, Brazil)
M.Sc. in Computer Science, 2008
Federal University of Minas Gerais (UFMG, Brazil)
B.Sc. in Computer Science, 2006
Federal University of Sergipe (UFS, Brazil)
Helena Maia (IC/UNICAMP), “Natural Language Processing & Cognitive Architectures”, Fellowship: H.IAAC
Leo Sampaio Ferraz Ribeiro (IC/UNICAMP), “Few-Shot Scene Recognition, a New Proxy Task for CSAM Detection”, Fellowship: FAPESP
Alceu Bissoto (IC/UNICAMP), “Generating unlimited skin lesion analysis with generative adversarial networks”, Supervisors: Sandra Avila, Eduardo Valle, Scholarship: CAPES (June 2020), FAPESP & Google LARA 2019-2020
Camila Laranjeira (DCC/UFMG), “Exploring visual cues for the classification of CSAI”, Supervisors: Jefersson A. dos Santos, Sandra Avila, Fabricio Benevenuto
Diego Moreira (IC/UNICAMP), “Multimodal representation space for text guided data generation”, Supervisors: Sandra Avila, Hélio Pedrini, Scholarship: H.IAAC
Gabriel Oliveira dos Santos (IC/UNICAMP), Supervisors: Sandra Avila, Esther Colombini, Scholarship: H.IAAC
João Macedo (DCC/UFMG), Supervisors: Jefersson A. dos Santos, Sandra Avila
Levy Gurgel Chaves (IC/UNICAMP), “The quest for generalization in small medical datasets”, Supervisors: Sandra Avila, Eduardo Valle, Scholarship: CAPES (May 2022), Google LARA 2021 & Santander
Andreza Aparecida dos Santos (IC/UNICAMP), “Exploring domain generalization for CSAM classification”, Supervisors: Sandra Avila, Jefersson A. dos Santos
Beatriz Precebes (IC/UNICAMP), “Causal machine learning for cervical cancer classification”, Scholarship: DeepMind
Bruna Osti (IC/UNICAMP), “Causal disentanglement for skin lesion classification”
Eduarda Gavião (IC/UNICAMP), “Self-supervised learning for classifying black skin lesions”, Scholarship: DeepMind
Gil Carvalho (IC/UNICAMP)
Jhessica Silva (IC/UNICAMP), “Evaluating ethics tools in language models”, Supervisors: Hélio Pedrini, Sandra Avila, Scholarship: H.IAAC
Lucas de Magalhães Araújo (IC/UNICAMP), “Evaluating deep neural networks-based methods for seismic image super-resolution”, Supervisors: Edson Borin, Sandra Avila
Luiz Fellipe Machi Pereira (IC/UNICAMP), “Modelos de linguagem aliados a estruturas linguísticas para geração de texto em português”, Supervisors: Sandra Avila, Nádia Félix & Helena Maia, Scholarship: H.IAAC
Marcela Medicina (IC/UNICAMP), “Multi-Level privacy for skin lesion classification: A federated learning approach”, Supervisors: Sandra Avila, Luiz Bittencourt
Nina da Hora (IC/UNICAMP), Supervisors: Sandra Avila, Marisol Marini, Scholarship: CNPq
Victória Pedrazzoli Ferreira (IC/UNICAMP), “Métodos baseados em Transformers visuais para o monitoramento automático de publicidades alimentícias”, Supervisors: Sandra Avila, Paula Horta, Scholarship: Santander
2023: Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list
2023: Human Rights Academic Recognition Award, UNICAMP-Vladimir Herzog Institute, “Leveraging Self-supervised Learning for Scene Recognition in Child Sexual Abuse Imagery” (Master thesis), M.Sc.: Pedro Valois
2022: Google Awards for Inclusion Research, Google AIR 2022: Google Awards for Inclusion Research, “Dark Skin Matters: Fair and Unbiased Skin Lesion Models”
2022: Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list
2022: Honorable Mention Award, ISIC Skin Image Analysis Workshop at ECCV’22, “An Evaluation of Self-supervised Pre-training for Skin-lesion Analysis”, Ph.D. student: Levy Chaves