معرفی
Professor Basilis Gidas is a faculty member in the Department of Applied Mathematics at Brown University since 1984. He holds a B.Sc. from the National Technical University of Athens and advanced degrees in Mathematics, Physics, and Mathematical Physics from the University of Michigan. His research focuses on computational molecular biology, Bayesian statistics, and interdisciplinary applications in computer vision and speech recognition. He has contributed to transcriptional regulatory networks analysis, protein folding models, and signal transduction pathways using hierarchical/syntactic models inspired by Chomsky grammars.
Key projects include studying MYC regulatory networks via ChIP-chip and microarray data, phosphorylation site motif identification through mass spectrometry, and ab initio protein folding using compositional models. He served on the National Research Council’s Spatial Statistics & Image Processing panel and edits the International Journal of Imaging Science and Technology. Awards include Fellowship in the Institute of Mathematical Statistics.
Teaching includes advanced courses in statistical inference (APMA 1660), mathematical statistics (APMA 2670/2680), and modern learning theory (APMA 2812D).
