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Martin H. Radfar
Research Assistant Professor
Dept. of Computer Science
Stony Brook University
Room 131
Email: radfar@cs.stonybrook.edu
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"Everything should be made as simple as possible, but not simpler." (A.E.)
Current Research:
- Cancer biomarker and drug target prediction using large-scale machine learning analysis of genomic data and pathway analysis.
- Unbalance learning for limited, sparse, and heterogeneous data---the so-called long tail challenge.
- Developing fast, large-scale, and accurate learning and inference methods for discrete Bayesian networks.
- Machine-learning based methods for microRNA target predictions.
Teaching:
Other highlights:
