Michal Linial
Michal Linial is a Professor of Biochemistry and Bioinformatics of the Hebrew University of Jerusalem (HUJI). She served as the Director of the Israeli Institute for Advance Studies (IIAS) in Jerusalem (from 2012-2018) and as a Director of the Sudarsky Center for Computational Biology at the Hebrew University (2001-2011).
Prof. Linial obtained her Ph.D. in Molecular biology from HUJI. She then completed her post-doctoral training at Stanford (CA, USA) on the field of cellular neurochemistry. On 1989 she joined the faculty of HUJI. She is a founder and the Chair (initated in 1999) of the educational program for Computational Biology in HUJI. She is the Israeli representative of pan-European ELIXIR Israeli Node. ML serves in the Board of Directors and as a Vice-President of the International Society of Computational Biology (ISCB) and was selected as a society fellow. She served as the chair of the European conference series in computational Biology (ECCB, 2005-2012). From 2005 she serves at the steering committee of ISMB, RECOMB and ECCB the international conferences of the Bioinformatics and Computational Biology communities and of CAFA competition for automatic functional annotation initiative. Michal Linial was a visiting professor in University of Washington in Seattle and MCR in Cambridge, MA-USA and a visiting scholar in Microsoft Research Institute (MRI, Cambridge Boston).
Linial lab developed and maintains large-scale databases and web-tools that are open to the community including ProtoNet for protein classification and annotations. miRrorSuite for combinatorial regulation by miRNAs and targets, and PANDORA for integration of protein annotations. Recently she developed PWAS-Hub as a source for genotype to phenotype for hundreds of diseases exposing sex-dependent genetics.
Linial has authored over 320 peer-reviewed papers, and a collection of book chapters, and edited books. She contributed to the development of bioinformatics databases and websites that are open to the large communities of the biomedical and Life science researchers. Her current research interests are on molecular evolution, protein family evolution, microRNA mode of action, methodological development of phenotype to genotype, molecular basis of aging and metabolic diseases and methods for merging proteomics and genomics toward human health. She applies large-scale technologies including NGS, proteomics (Mass spectrometry) for revealing the regulation levels in health and disease.
Major topics of the current lab (computational and experimental)
– Proteomics and Genomics approaches in the study of diseases and behavior with a focus on ageing disease and translation regulation.
– Bioinformatics –developing large-scale studies for biological sequences and their global organization, tool development.
– AI in systems biology, cancer genome and human genetics
– Neuronal and immune systems under stress – The source of resilience
– Dark matter of human genome: ncRNAs, antisense, structural variants, short peptides
– AI, machine learning in cell regulation and modulatory action via multilayer regulation
– Ageing and learning deficit, a network biology perspective