Beyond the Pixels: Phenotypic Discovery using Machine Learning and Image Analysis Method
Dr Peter Horvath, Group Leader, Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, BRC, Szeged
Lecture theatre C42, Biomedical Sciences Building
Peter Horvath (1980) is currently a group leader in the Biological Research Center of the Hungarian Academia of Sciences in Szeged and holds a Tekes 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.
Host: Dr Yohei Yamauchi