I am a Postdoctoral Research Scientist in the Causal Artificial Intelligence (Causal AI) Laboratory, where I work with Professor Elias Bareinboim. My research lies at the intersection of Computer Science, Statistics, and Artificial Intelligence in Healthcare. I am currently interested in the development and application of causal reasoning and decision-making tools in the Health Sciences for discovering, integrating, generalizing, and personalizing cause-effect relationships from heterogeneous observational and experimental data collections.
Sep 2021 | DAAD Postdoc-NeT-AI Fellowship DAAD Artificial Intelligence Networking (AInet) Fellowship Federal Ministry of Education and Research, Germany |
Sep 2019 - Aug 2020 | Postdoctoral Research Fellowship Causal Artificial Intelligence Lab Department of Computer Science & Data Science Institute, Columbia University, New York, NY, USA |
Jan 2019 - Aug 2019 | Postdoctoral Research Fellowship Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil |
Sep 2017 - Dec 2017 | PhD Visiting Student at Princeton University Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil |
Aug 2014 - Jul 2018 | PhD Graduate Research Scholarship Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil |
Mar 2012 - Feb 2014 | MSc Graduate Research Scholarship Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil |
Anand, T., Ribeiro, A. H., Tian, J. , Bareinboim, E. (2021). Effect Identification in Cluster Causal Diagrams. Columbia CausalAI Laboratory, Technical Report (R-77). https://causalai.net/r77.pdf |
Ribeiro, A. H., Vidal, M. C., Sato, J. R., Fujita A. (2021). Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder. Entropy. 23(9):1024. https://doi.org/10.3390/e23091204 |
Ribeiro, A. H., Soler, J. M. P. (2020). Learning Genetic and Environmental Graphical Models from Gaussian Family Data. Statistics in Medicine. 39: 2403– 2422. https://doi.org/10.1002/sim.8545 |
Ribeiro, A. H., Soler, J. M. P., Hirata Jr., R. (2019). Variance-Preserving Estimation of Intensity Values Obtained from Omics Experiments. Frontiers in Genetics. 10:855. https://doi.org/110.3389/fgene.2019.00855 |
Ribeiro, A. H. (2018). Identification of Causality in Genetics and Neuroscience. Doctoral dissertation, Department of Computer Science, University of Sao Paulo. https://doi.org/10.11606/T.45.2019.tde-15032019-190109 |
Ribeiro, A. H., Lotufo, P., Fujita, A, Goulart, A., Chor, D., Mill, J. G., Bensenor, I., Santos, I. S. (2017). Association Between Short-Term Systolic Blood Pressure Variability and Carotid Intima-Media Thickness in ELSA-Brasil Baseline. American Journal of Hypertension. 30:954–960. https://doi.org/10.1093/ajh/hpx076 |
Ribeiro, A. H., Soler, J. M. P., Neto, E. C., Fujita, A. (2016). Causal Inference and Structure Learning of Genotype-Phenotype Networks Using Genetic Variation. In Big Data Analytics in Genomics. Springer International Publishing, New York, p. 89-143. https://doi.org/10.1007/978-3-319-41279-5_3 |
Ribeiro, A. H. (2014). Gene expression analysis taking into account measurement errors and application to real data. Master thesis, Department of Computer Science, University of Sao Paulo. https://doi.org/10.11606/D.45.2014.tde-04082014-163616 |
Ribeiro, A. H. (2019). FamilyBasedPGMs: an R package for learning genetic and environmental graphical models from family data. https://github.com/adele/FamilyBasedPGMs |
Ribeiro, A. H. (2019). OmicsMA: An R Package for Variance-Preserving Estimation and Normalization of M-A Values from Omics Experiments. https://github.com/adele/omicsMA |
Ribeiro, A. H., Sato, J. R., Fujita, A. (2018). Granger Causality Between Graphs and Applications in Functional Brain Networks. X-Meeting - 14th International Conference of the AB3C , October 24th - 26th, 2018, São Pedro, SP, Brazil. (Poster Presentation) - Best Poster Award |
Ribeiro, A. H., Soler, J. M. P., Fujita, A. (2018). Learning Genetic and Environmental Causal Graphical Models in Family-Based Studies. Abstracts for the XIXth International Biometric Conference , July 8-13, 2018, Barcelona, Spain, International Biometric Society. Conference Abstract. (Contributed Talk) |
Soler, J. M. P., Ribeiro, A. H., Jahnke, M. R. (2017). A produção da cerveja produzindo conhecimento. 3o Congresso de Graduação da USP, São Paulo, SP, Brazil. (Poster Presentation) |
Ribeiro, A. H., Soler, J. M. P., Fujita, A. (2016) A Comparative Study of Algorithms for Learning Causal Genotype–Phenotype Networks. Abstracts for the XXVIIIth International Biometric Conference , July 10-15, 2016, Victoria, British Columbia, Canada, International Biometric Society. ISBN 978-0-9821919-4-1. (Poster Presentation) |
Swinka, B. B., Carvalho, C. M., Weihermann, A, Schuck, D. C., Boldrini, N., Silva, V. V., Costa, M. T., Ribeiro, A. H., Fujita, A., Brohem C. A., and Lorencini M. (2015). Analysis of extracellular-matrix and cell-adhesion genes modulated by mechanical massage applied in combination with a cosmetic emulsion. Supplement issue of the Journal of Investigative Dermatology, Epidermal Structure & Barrier Function , v. 135, p. S58-S69, 74th Annual Meeting of the Society for Investigative Dermatology (SID 2015), Atlanta, GA, USA. Conference Abstract: https://doi.org/10.1038/jid.2015.71 |
Ribeiro, A. H., Hirata Jr., R., Soler, J. M. P. (2014). Two-color microarray data analysis taking into account probe-level inaccuracies. ISCB-Latin America X-Meeting on Bioinformatics with BSB and SoiBio , Belo Horizonte, MG, Brazil. (Poster Presentation) |
Dec 2021 | WHY-21 at NeurIPS 2021 (Virtual Conference) Causal Inference & Machine Learning: Why now? Invited Talk (Forthcoming) Ribeiro, A. H.. Cluster Causal Diagrams |
Sep 2021 | Graduate Seminars Series - Statistics Statistics Department, University of Brasilia - UnB, Brasilia, Brazil Invited Lecture Ribeiro, A. H.. Causal Inference and Data-Fusion |
Jul 2021 | 11th Lisbon Machine Learning Summer School (LxMLS - 2021) Invited 3-hour Tutorial Ribeiro, A. H., Bareinboim, E.. Causal Data Science: An Introduction to Causal Inference and Data-Fusion. |
Jun 2021 | Perspectives in Statistics Statistics Department, University of Sao Paulo (IME - USP), Sao Paulo, SP, Brazil Invited Lecture Ribeiro, A. H.. Causal Inference from Observational Studies |
Dec 2020 | Seventy-Sixth (76th) Annual Deming Conference on Applied Statistics. Invited 3-hour Tutorial Ribeiro, A. H., Adibuzzaman, M., Bareinboim, E.. Causal Inference in the Health Sciences. |
Nov 2020 | American Medical Informatics Association (AMIA 2020) Virtual Annual Symposium. Contributed 3.5-hour Tutorial Ribeiro, A. H., Adibuzzaman, M., Bareinboim, E.. Causal Inference in the Health Sciences. |
Oct 2020 | Graduate Seminars Series - Biostatistics and Biometrics Sao Paulo State University - UNESP, Botucatu, SP, Brazil Invited Lecture Ribeiro, A. H.. Causal Inference from Observational Studies |
May 2019 | Graduate Seminars Series - Statistics Federal University of Sao Carlos and University of Sao Paulo (UFSCar - USP), Sao Carlos, SP, Brazil Invited Lecture Ribeiro, A. H.. Learning Genetic and Environmental Probabilistic Graphical Models from Gaussian Family Data. |
Jan 2017 | Graduate Summer School - Sao Paulo State University - UNESP, Presidente Prudente, SP, Brazil 9-hour Short Course Ribeiro, A. H., Soler, J.M.P.. Dimensionality Reduction and Structure Learning with Applications to Genomics |
May 2016 | 61a Reunião Anual da Região Brasileira da Sociedade Internacional de Biometria (RBras), Salvador, BA, Brazil 4-hour Short Course Ribeiro, A. H., Soler, J.M.P.. Dimensionality Reduction Applied to Genomics |
Feb 2018 - Jul 2018 | Computer Engineering Department - Institute of Education and Research (Insper), Sao Paulo, SP, Brazil. Software Design using Python |
Mar 2017 - Jul 2017 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Statistical Design of Experiments |
Aug 2016 - Dec 2016 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Multivariate Data Analysis |
Mar 2016 - Jul 2016 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Statistical Methods for Genetics and Genomics |
Aug 2015 - Dec 2015 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Multivariate Data Analysis |
Mar 2015 - Jul 2015 | Architecture and Urbanism College - University of Sao Paulo (FAU-USP), Sao Paulo, SP, Brazil. Mathematics, Architecture and Design |
Aug 2014 - Dec 2014 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Statistical Techniques, Programming and Simulation |
Mar 2014 - Jul 2014 | Institute of Astronomy, Geophysics and Atmospheric Sciences - University of Sao Paulo (IAG-USP), Sao Paulo, SP, Brazil. Numerical Calculus with Applications in Physics |
Aug 2013 - Dec 2013 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Mathematical Modeling |
Mar 2013 - Jul 2013 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Introduction to Computer Programming |
Aug 2012 - Dec 2012 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Linear Programming |
Mar 2012 - Jul 2012 | Institute of Mathematics and Statistics - University of Sao Paulo (IME-USP), Sao Paulo, SP, Brazil. Numerical Methods for Linear Algebra |