I am a postdoc in Dominik Heider's research group at Philipps-Universität Marburg, Germany. Previously, I worked with Elias Bareinboim as a postdoc in the Causal AI Lab at Columbia University, USA. My research lies at the intersection of Computer Science, Statistics, and Artificial Intelligence in Healthcare. My efforts are focused on advancing the theory of causal inference and learning for discovering, generalizing, and personalizing cause-effect relationships from multiple observational and experimental data collections. I am also interested in the development and application of machine learning and AI tools equipped with causal and counterfactual reasoning for more fair, explainable, scalable, reliable, and personalized decision-making. I have a particular interest in applications in the Health Sciences and have directed my research towards addressing challenges that emerge in such domains to help bridge the gap between theory and practical applications.
Sep 2021 | DAAD Postdoc-NeT-AI Fellowship DAAD Artificial Intelligence Networking (AInet) Fellowship Federal Ministry of Education and Research, Germany |
Sep 2019 - Aug 2022 | 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 |
Jaber, A.*, Ribeiro, A. H.*, Zhang, J., Bareinboim, E. (2022). Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness. In Proceedings of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS-22). (Preprint) |
Ribeiro, A. H., Bareinboim, E. (2022). Causal Inference and Data Fusion: Towards an Accelerated Process of Scientific Discovery. OECD-22. Organisation for Economic Co-operation and Development, Volume “AI and the productivity of science” . forthcoming. Columbia CausalAI Laboratory. Technical Report (R-73) |
Anand, T. V.*, Ribeiro, A. H.*, Tian, J. , Bareinboim, E. (2021). Effect Identification in Cluster Causal Diagrams. Columbia CausalAI Laboratory. Technical Report (R-77) arXiv preprint arXiv:2202.12263 |
Dias, F. M., Samesima, N., Ribeiro, A., Moreno, R. A., Pastore, C. A., Krieger, J. E., and Gutierrez,M. A. (2021). 2D Image-Based Atrial Fibrillation Classification. In 2021 Computing in Cardiology (CinC), volume 48, pages 1–4. IEEE. https://doi.org/10.23919/CinC53138.2021.9662735 |
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) |
Jul 2022 | 12th Lisbon Machine Learning Summer School (LxMLS - 2022) Invited 3-hour Tutorial Ribeiro, A. H., Bareinboim, E.. Causal Data Science |
Jun 2022 | Columbia DSI Scholars - Summer Research Bootcamp 2022 Data Science Institute, Columbia University Invited Talk Ribeiro, A. H. An Overview on Causal Data Science. |
May 2022 | Interinstitutional Graduate Program in Statistics (PIPGES) Federal University of São Carlos and University of São Paulo Invited Talk Ribeiro, A. H. Causal Effect Identification in Partially Understood Domains. |
Mar 2022 | Voices of Data Science at UMass Amherst Manning College of Information & Computer Sciences, University of Massachusetts Amherst Invited Talk Ribeiro, A. H.. On the Importance of Causal Inference in the Next Generation of Artificial Intelligence. |
Mar 2022 | Causal Inference Learning Group Biostatistics Department, Mailman School of Public Health, Columbia University Invited Talk Ribeiro, A. H..Effect Identification in Cluster Causal Diagrams. |
Dec 2021 | WHY-21 at NeurIPS 2021 - Causal Inference & Machine Learning: Why now? Invited Talk Ribeiro, A. H.. Effect Identification in Cluster Causal Diagrams. |
Nov 2021 | Laboratory of Epidemiology & Population Science (LEPS) at the National Institute on Aging (NIA) Invited Talk Ribeiro, A. H.. Causal Inference and the Data-Fusion Problem |
Nov 2021 | OECD workshop on AI and the productivity of science. Invited Talk Ribeiro, A. H., Bareinboim, E.. Developing causal AI: its importance and an overview. |
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 |
Oct 2021 | “How I would like to continue my research... ” Interview by Klaus Rathje on the DAAD Postdoctoral Networking Tour "AI in Medicine". |
May 2021 | Developing and Applying Causal Inference Methods in Public Health Interview by Karina Alexanyan, Ph.D., for the Data Science Institute at Columbia University. |
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 |