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About the Editors

Editors-in-Chief

New Content ItemEgon Willighagen is a researcher in the BiGCaT Department for Bioinformatics and teacher at Maastricht University in the Netherlands. His research projects focus on using and developing new cheminformatics and chemometrics approaches to explain biological phenomena in metabolic diseases, drug discovery, and toxicology.

The research develops and contributes to open source and open data projects including BridgeDb, eNanoMapper, the Chemistry Development Kit (CDK), Bioclipse, and linked open data projects such as WikiPathways, the CHEMINF ontology, and Open PHACTS.

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Rajarshi Guha is the Associate Director of Informatics at Vertex Pharmaceuticals where he leads the cheminformatics group that is responsible for informatics needs in high throughput screening, library design & enhancement and in vitro toxicology. Prior to joining Vertex, he spent 9 years at as a research scientist in the Division of Pre-Clinical Innovation at NCATS. His work has ranged from small molecule development projects in a variety of therapeutic areas (including rare cancers and infectious diseases) to software and algorithm development in the areas of cheminformatics methods and large-scale infrastructure projects including Pharos, BARD and the Trans-NIH RNAi Screening Facility.

His research interests focus on method & infrastructure development to analyze and visualize chemical biology datasets, with specific focus on techniques to link chemical structure information to molecular, bibliographic, genomic and clinical covariates to explain the effects of small molecules in the context of larger biological systems.

Associate Editors

New Content ItemNina Jeliazkova received a M.Sc. in Computer Science from the Institute for Fine Mechanics and Optics, St. Petersburg, Russia in 1991, followed by a PhD in Computer Science (thesis "Novel computer methods for molecular modelling") in 2001 in Sofia, Bulgaria, and a PostDoc at the Central Product Safety department, Procter & Gamble, Brussels, Belgium (2002 - 2003) Her professional career started as a software developer first at the oil refinery Neftochim at Burgas, Bulgaria (1991 - 1995), then at the Laboratory for Mathematical Chemistry, Burgas, Bulgaria (1996 - 2001). She joined the Bulgarian Academy of Sciences at 1996 as a researcher and network engineer at the Network Operating Centre of the Bulgarian National Research and Education Network. She is founder and co-owner of Ideaconsult Ltd and is technical manager of the company since 2009. She participated in a number of R&D projects in Belgium and Bulgaria, authored and co-authored about 40 scientific papers in Bulgarian and international textbooks, as well as several book chapters. Nina received the Blue Obelisk Award in 2010 for achievements in promoting Open Data, Open Source and Open Standards.

Barbara ZdrazilBarbara Zdrazil is a group leader at the Department of Pharmaceutical Sciences, University of Vienna, Austria, and works as a safety data scientist for the European Bioinformatics Institute (EMBL-EBI), UK.

She received her PhD in Pharmaceutical Chemistry from the University of Vienna and performed her postdoctoral studies at the University of Düsseldorf, Germany. Barbara contributed to many EU-funded projects (eTOX, OpenPHACTS, EU-ToxRisk) and is leading a nationally funded FWF project focusing on hepatic OATPs since 2017. In 2019, Barbara accomplished her Venia Docendi in Pharmacoinformatics at the University of Vienna.

Barbara's research is concentrated on integrating Data Science approaches into the Computational Molecular Design process. She focuses on off-targets (mainly hepatic uptake transporters of the SLC family), and develops automatized computational techniques to link heterogeneous data sources, perform bioactivity profiling, and generate predictive models – especially for toxicity predictions. In addition, Barbara is interested in large-scale data analyses including time trend analyses by utilizing public domain data. At EMBL-EBI, Barbara is contributing to Open Targets, a project which aims to enable systematic target identification and prioritization.

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