We are a research group at Indiana University and the Instituto Gulbenkian de Ciencia working on complex networks & systems. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. This means both understanding how information is fundamental for controlling the behavior and evolutionary capabilities of complex systems, as well as abstracting principles from natural systems to produce adaptive information technology. This theoretical and applied research agenda focuses on tackling multi-level complexity involved in human health, and is organized in three main threads: complex networks & systems, computational and systems biology, and computational intelligence. Our publications are available online.
See our current roster and information on how to join our group. We are seriously interconnected with other research groups and networks: The Center for Complex Networks and Systems (CNets), the Indiana University Networks Institute, the Cognitive Science Program, the FLAD Computational Biology Collaboratorium, the Instituto Gulbenkian de Ciência, the Champalimaud Neuroscience Program, and Centre de Physique Théorique at the Aix-Marseille Université.
The CASCI lab meets every Monday @ 13:00 in Luddy Hall, room 4012 (Visualization Lab)
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Congratulations to CASCI member Rion Brattig Correia for successfully defending his dissertation entitled "Prediction of Drug Interaction and Adverse Reactions, with data from Electronic Health Records, Clinical Reporting, Scientific Literature, and Social Media, using Complexity Science Methods" on April12th 2019. Rion was supervised by Luis Rocha and completed his PhD degree as an affiliate of the NSF-NRT Interdisciplinary training in Complex networks and Systems. Dr. Correia’s research used network science, machine learning, and data science to uncover population-level associations of drugs and symptoms, useful for public health surveillance. His findings show that Social Media (Instagram and Twitter) and Electronic Health Records of an entire city in Southern Brazil, are very useful to reveal how the Drug interaction phenomenon varies across distinct groups. For instance, he identifying gender biases and specific communities of interest in chronic disease (e.g. Epilepsy and Depression). In addition to Complex Networks and Systems, his dissertation contributes to the fields of biomedical informatics and precision public health by leveraging heterogeneous data sources at multiple levels to understand population and individual pharmacology differences and other public health problems.
PhD dissertation in the NSF-NRT Interdisciplinary training in Complex networks and Systems: Prediction of Drug Interaction and Adverse Reactions, with data from Electronic Health Records, Clinical Reporting, Scientific Literature, and Social Media, using Complexity Science Methods. 2019, Indiana University. Currently Postdoctoral Research Associate at the Complex Adaptive Systems and Computational Intelligence Lab at Indiana University.
Dual-PhD dissertation in the Complex Systems track of the Informatics PhD Program as well as the Cognitive Science program: The anatomical and effective structure of complex systems. 2017, Indiana University. Currently Postdoctoral Research Associate at the Center for Complex Networks Research, Northeastern University.
PhD dissertation in the Complex Systems track of the Informatics PhD Program: The Role of Canalization in the Spreading of Perturbations in Boolean Networks. 2017, Indiana University. Currently Postdoctoral Research Associate at Michael Levin’s lab, Biology Department, Tufts University.
PhD Dissertation in the Complex Systems track of Informatics: Measuring Scales: Integration and Modularity in Complex Systems. 2015, Indiana University. Currently Postdoctoral Research Associate at the Santa Fe Institute.
Previous Postdoctoral fellow. Currently: Lecturer at the Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. See also his famous sejkko alter-ego on Instagram
PhD Dissertation in Computer Science: Biomedical Literature Mining for Pharmacokinetics Numerical Parameter Collection . 2012, Indiana University. Currently Director of Bioinformatics Core at University of Pennsylvania
PhD Dissertation in Cognitive Science: Stochastic Models And Transitivity In Complex Networks. 2012, Indiana University. Currently Senior Researcher, Telefonica Innovation Alpha
PhD Dissertation: An adaptive document classifier inspired by T-Cell cross-regulation in the immune system. 2011, Indiana University. Currently artist/scientist-in-residency at the Instituto Gulbenkian de Ciencia
PhD Dissertation: Reverse engineering the mechanisms and dynamical behavior of complex biochemical pathways. 2011, Indiana University. Currently: Data Science Consultant for the Consulting for Statistics, Computing and Analytics Research Center (CSCAR) at the University of Michigan.
PhD Dissertation: Analysis and simulation of the innovation process from an evolutionary perspective. 2008, Universidade da Beira Interior, Portugal. Deceased.
Previous Postdoctoral fellow. Currently: Professor in the Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan.
PhD Dissertation: Multivariate Analysis of Gene Expression Data and Functional Information: Automated Methods for Functional Genomics. 2005, Portland State University. Currently: Associate Scientist at UC Santa Cruz.
Previous Postdoctoral Visitor. Currently Associate Professor at Universidade de Vigo: Ourense, Ourense, Spain.
If you are interested in working in the area of Complex Adaptive Systems
and Computational Intelligence, there are several ways to study and collaborate with us. Professor Luis Rocha supervises students and works with postdoctoral and senior researchers.
Rui M. Costa
Alaa Abihaidar, Fernando Almeida e Costa, Michael Altherr, R. Baker Kearfott, Mark Bedau, Johan Bollen, Thomas Brettin, Edward Browne, Jean Challacombe, Ernesto Costa, Antonio Coutinho, Mariella DiGiacomo, Dario Floreano, Florentino Fdez-Riverola, Rob Goldstone, Raphael Gottardo, Inman Harvey, Charles Henry, Wim Hordijk, Chien-Feng Huang, Norman Johnson, Cliff Joslyn, Marianna Kantor, Jasleen Kaur, Vladik Kreinovich, Lang Li, An·lia LourenÁo, Richard Luce, Jeremy Luinstra, Ana Maguitman, Manuel Marques-Pita, Pedro Medina-Martins, Melanie Mitchell, Sheetal Narayanan, Predrag Radivojac, Steen Rasmussen, Andreas Rechtsteiner, Isabel Rocha, Miguel Rocha, Hagit Shatkay, Thomas Shenk, Tiago Simas, Steven Smith, Charlie Strauss, Herbert Van de Sompel, Karin Verspoor, Alessandro Vespignani, Michael Wall, Zhiping (Paul) Wang, Larry Yeager.
CNeTS: Center for Complex Networks and Systems @ The School of Informatics and Computing, Complex Systems & Networks @ Indiana University, NaN- the Networks and Agent Networks, Artificial Life @ Indiana University, Computational Biology @ Instituto Gulbenkian de Ciencia, Complex Systems Modeling Team @ Los Alamos National Laboratory