MS in Computer Science, Department of Computer Science, Slovak Technical University, Bratislava, Slovakia, May 1988.
PhD in Computer Science, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, August 1997.
My research more broadly covers artificial intelligence, and machine learning. My research work is often motivated by biomedical informatics problems and applications. More specifically, my current work develops machine learning technologies for analysis of high dimensional time-series data in electronic health records (EHRs), patient state modeling, extraction and representation of biomedical knowledge and its combination with ML methods. One of the aims of my work is to deploy the AI models at bedside to perform real-time clinical monitoring and alerting, real-time patient assessment, real-time adverse event detection. Finally, my most recent research is on control and optimization of complex biological and clinical processes.
Machine learning methods for high-throughput bioinformatics data. Statistical methods for identification of hidden regulatory pathways
from gene expression data. Algorithms for preprocessing and analysis of high-throughput MS proteomic and genomic data and for biomarker discovery. Methods for protein ID in whole sample proteomics using prior knowledge
Current research funding:
NIH R01EB032752. Learning alerting models for clinical care from EMR data and human knowledge (PI: Hauskrecht)