Prof. Ioannis Tsamardinos is Assistant Professor at the Computer Science Department (CSD) at the University of Crete (UC), Greece and Head of the Bioinformatics Laboratory (BIL) at FORTH-ICS, a top-rated research institute in Greece. Before joining University of Crete and FORTH, Ioannis help a faculty position in the Department of Biomedical Informatics at Vanderbilt University. He studied Computer Science at his present department (CSD, University of Crete) and then obtained a Masters and a Ph.D. from the Intelligent Systems Program at University of Pittsburgh. In the summer of 1997 Ioannis worked as an intern in the Remote Agent team of the NASA Deep Space I mission.
- Machine Learning
- Particularly in regards with causal modeling and induction from a single or from multiple datasets, variable selection, and Bayesian Network learning.
- Particularly in regards to identification of biomarkers and molecular signatures in high-throughput data, reconstruction of biological networks,
- Artificial Intelligence
- Particularly in regards with applications to recognizing activities from smart and ambient intelligent environments and others.
Recently, Prof. Tsamardinos has introduced the general approach of Integrative Causal Analysis, a novel paradigm for co-analyzing different datasets measuring different sets of variables, under different experimental conditions or sampling designs in the context of prior knowledge. These methods hold the promise of one day becoming able to co-analyze a large part of available data in a domain within biology and medicine to make novel inferences that are impossible when datasets are analyzing in isolation.
Participation in Research Projects
- REACTION, EC FP7-IP-No 248590, "Remote Accessibility to Diabetes Management and Therapy in Operational Healthcare Networks"
- VPH NoE, EC GA no 223920, "The Virtual Physiological Human Network of Excellence",
- EHR-IMPLEMENT, EC, DG Sanco - Contract Number 006112
- HEARTFAID, EC, FP6-STREP-No 027107
- NLM Grant, LM-7948-01, "Principled Methods for Very Large-Scale Causal Support Discovery"
- NLM 1R01 LM007995-01 "TIME: (Tools for Inpatient Monitoring Using Evidence)"
- NIH/NLM LM 007613-01, "Biomedical Information Science and Technology Initiative (BISTI)
Ioannis Tsamardinos is the Head of the Bioinformatics Laboratory at ICS-FORTH, an Assistant Professor at the Department of Computer Science at University of Crete, and an Adjunct Assistant Professor at the Department of Biomedical Informatics at Vanderbilt University. He received his Ph.D. in 2001 from the Intelligent Systems Program of the University of Pittsburgh and worked as an Assistant Professor at the Dept. of Biomedical Informatics at Vanderbilt University between 2001 and 2006. Prof. Tsamardinos has over 50 publications in international journals, conferences, and books. He has also participated in several applied projects to biomedicine, including the analysis of clinical, epidemiological, microarray gene-expression, proteomics and text-categorization. Distinctions with colleagues and students include the best performance in one of the four tasks in the recent First Causality Challenge Competition, ISMB 2005 Best Poster Winner, a Gold Medal in the Student Paper Competition in MEDINFO 2004, the Outstanding Student Paper Award in AIPS 2000, the NASA Group Achievement Award for participation in the Remote Agent team and others. International recognition has led to membership to the Editorial Board Member of the Journal of Artificial Intelligence Research, regular participation in the Program Committees of major conferences in the field, regular reviewing for prestigious journal in the field, and about 2000 citations and h-index of 19 (as estimated by the Publish or Perish tool). Ioannis is involved in several educational activities, regularly teaches the Machine Learning, Artificial Intelligence, and Algorithms in Bioinformatics courses at University of Crete, and has presented several tutorials related to Machine Learning and Causal Analysis for biomedical data analysis in conferences and summer schools.