Amsterdam, North Holland, Netherlands
Jakob de Vlieg studied biophysics at the University of Groningen and graduated cum laude. His PhD research was focused on computer simulation of biomolecular systems. Shortly thereafter, he joined the EMBL, Heidelberg to develop bioinformatics techniques. From 1990 until 2001, DeVlieg held a range of research and management positions at Unilever Research, in the fields of modeling, biophysics and ICT. Between 2000 and 2015 he has held a professorship in the field of Bioinformatics and Computational Chemistry at the Radboud University Nijmegen. De Vlieg joined Organon BioSciences in 2001, as head of the Department of Molecular Design and Informatics responsible for computational medicinal chemistry, bioinformatics and research information systems. In 2006, he was appointed as VP R&D IT to integrate IT into the drug discovery and development process. In 2008, he was appointed as Global Head Molecular Design & Informatics, ScheringPlough (now MSD) to support the Discovery Research and Translational Medicine functions worldwide. In July 2011 he began serving as CEO of the Netherlands eScience Center to optimize innovation in the Big Data era through creative and innovative use of ICT in all its forms. De Vlieg joined Bayer in November 2013 as global head Computational Life Sciences (CLS) to implement a CLS function in Bayer CropSciences R&D. In 2015 he was appointed as VP Sr. Expert CLS to develop an effective scientific CLS strategy and to set up an external network for translational and integrative R&D in the big data era. Between 2001 and 2008 DeVlieg chaired the NWO Bioinformatics program committee in the Netherlands. Presently DeVlieg serves at a number of advisory boards in the field of computational and data sciences, including member of the program committee Computational Sciences Shell-NWO and the Industry Advisory Committee of the European e-infrastructure supporting life science research and its translation to medicine, agriculture and society (Elixir)
Develop integrative data solutions for fourth paradigm research and innovative cross-overs between AgriFood, Data and Engineering in all its forms (e.g. Big Data, Materials, Robotics, Sensors, Logistics and Business Models). The AgriFoodTech@TU/e initiative is developed in close collaboration with Wageningen University&Research (WUR) and other knowledge institutes (e.g. 4TU, HAS University of Applied Science and the University of Utrecht, Future Foods program). A longer-term goal of the initiative is to build an (international) ecosystem of companies, organizations and knowledge institutions to integrate fast innovation and deep fundamental research. This to feed the world by 2050 while reducing the environmental footprint of the current food production systems. AgriFoodTech initiative is divided in three key themes: Smart Farming (e.g. precision farming for crops and animals, data-driven breeding concepts,, urban & vertical farming), Smart Foods (e.g. food processing and personalized foods & health) and Education.
Jakob de Vlieg is a Full Professor, Chair of Applied Data Science at the Department of Mathematics and Computer Science. The key goal of the Applied Data Science (ADS) group is to develop Integrative Data Science solutions for fourth paradigm research. This by linking advanced data management and data analysis tools (e.g. machine learning, visualization) in an effective manner by applying translational and question-based research methods (linking data and minds).
Dean of the Department of Mathematics & Computer Science (M&CS) and professor of Applied Data Science at Eindhoven University of Technology (TU/e). The M&CS department has approximately 440 employees and more than 1400 students. The department collaborates with a wide range of leading (academic) organizations and companies’ world-wide (e.g. Philips, ASML, TomTom, Rabobank) in the field of computing, mathematics and data science. Breaking Scientific Research; High Quality Education and Transferring results to society are the three key components of M&CS strategy. Our research is organized in four key themes: Algorithmics & Stochastics; Computational Science; Data Analytics and Advanced Visualization and Security, Software and Systems. The department contributes to the challenges of the TU/e; Health, Energy and Smart Mobility. Developing advanced data science & big data analytics solutions for cross-disciplinary innovation has become an important research topic for the department of M&CS. This includes educating the next generation of data and computer scientist based on a T-shaped profile. The increasing rate of data generation across all scientific disciplines and business areas provide incredible opportunities for data driven research, with the potential to transform current research & innovation practices and requires a new type of broad-oriented data scientists. Current data science research programs include process analytics, customer journey, diagnostics & smart maintenance, quantified self, data value and privacy, smart cities and smart grids. See also “https://www.tue.nl/en/university/departments/mathematics-and-computer-science” for more information.
-Develop an effective and output-driven scientific Computational Life Sciences (CLS*) strategy for translational research and integrative R&D in the big data era -Establish and manage a valuable external scientific network in the area of CLS*; externalization and open digital innovation -Identify innovative scientific capabilities to leverage synergistic and overarching data science and digitalization concepts supporting R&D in the Health Care and CropSciences divisions *CLS is about managing, analyzing, combining and re-using (internal & external) data sources including promoting a culture of data & knowledge sharing. As an interdisciplinary science, CLS embraces scientific disciplines such as computational systems biology, structural bioinformatics, computational chemistry, cross-type data integration (e.g. data stewardship, meta-data analysis, bio-semantics), advanced computing, data analysis and visualization technologies (e.g. experimental design, pattern recognition, advanced algorithms, text mining) as well as (mufti-scale) modeling & simulation techniques.
Global Head Computational Life Sciences (CLS) to implement an effective and coherent CLS organization able to support data-driven & integrated Research and Development in Bayer CropScience worldwide. Development and implementation of digital R&D & data sciences capabilities to optimize the balance between wet and dry life sciences and to use the full potential of breeding, traits, agrochemicals, field tests & farming data.
The Computational Design and Discovery (CDD) Group was established at the Center of Molecular and Biomolecular Informatics (CMBI) of the Radboud University of Nijmegen in 2003 by part-time professor Jakob de Vlieg. Key goal of the CDD group is to develop and apply innovative eScience and other data-driven computational techniques for advanced design & discovery of bioactive molecules (e.g. for applications in Pharma or (functional) Foods). Scientific areas include bioinformatics for molecualar discovery, computational chemistry, molecular modelling and text mining. A key research topic of CDD is the development of large-scale “Big Data” analysis across multiple disciplines for molecular discovery. A challenge without frontiers: access to data and the ability to manipulate data are essential assets for industry and academia alike, both generally as well as globally. The scale of information generation is now so great that science has to adapt or drown in a data deluge. Breakthroughs are increasingly made at the interface of disciplines by groups of scientists benefiting from the combination of their diverse skills and the ability to optimally analyze heterogeneous data sources.
The Netherlands eScience Center (NLeSC) is charged with enabling data-intensive research and promoting knowledge-based interdisciplinary collaboration across all branches of science and research. NLeSC computational sciences, informatics and ICT areas include the development of new techniques and concepts to manipulate and explore massive datasets including cross-type data integration, decision support systems, visualization technologies and data-driven simulations and any other areas that offer the potential to increase coherency across eScience innovation and the rationalization of e-infrastructure development. The establishment of the National eScience Centre is an important step towards the goal of the Dutch government to coordinate data-intensive research in the Netherlands. SURF, the Dutch higher education and research partnership for ICT- and NWO – the country’s principal science funding body – have combined their expertise to realise this goal by founding NLeSC and therefore creating an effective bridge between science and ICT.
Global responsibility for Bioinformatics, Computational Medicinal Chemistry, Structure-Based Drug Design, Structural Biology, and Discovery & Translational Sciences Informatics to support the Discovery Research and Early Clinical Research & Experimental Medicine (Translational Medicine) functions of the Schering-Plough research sites in Kenilworth (NJ), Oss (Netherlands), Newhouse (Scotland), Cambridge (MA), Singapore and Palo Alto (CA). Member of the Research Leadership Team (RLT) of Schering-Plough Research Institute. Key task is to develop and implement modern science informatics and technologies using data-driven approaches by bridging bioinformatics, structural chemistry and biology expertise in the pursuit of drug development candidates, translational biomarkers and targets and innovative means to reduce late stage attrition.