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Machine Learning and Image Analysis Methods in High-content Screening for Phenotypic Drug and Gene Discovery
Video

Machine Learning and Image Analysis Methods in High-content Screening for Phenotypic Drug and Gene Discovery

Machine Learning and Image Analysis Methods in High-content Screening for Phenotypic Drug and Gene Discovery
Video

Machine Learning and Image Analysis Methods in High-content Screening for Phenotypic Drug and Gene Discovery



About the Speaker
Peter Horvath (1980) is currently a group leader at ETH, Zurich and holds a Finnish Distinguished Professor (FiDiPro) Fellow position in the Institute for Molecular Medicine Finland (FIMM), Helsinki. He graduated as a software engineer and mathematician, and received his Ph.D. from INRIA and University of Nice, Sophia Antipois, France in satellite image analysis. Between 2007 and 2013 he was a senior scientist at the ETH Zurich, in the Light Microscopy Centre. Peter Horvath is interested in solving computational cell biology problems related to light microscopy and is involved in three main research fields; 2/3D biological image segmentation and tracking; development of microscopic image correction techniques; machine learning methods applied in high-throughput microscopy. He is the co-founder of the European Cell-based Assays Interest Group.
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