ScientistForecast Department, Evaluation Sectionpage tabs Profile Summary: Claudia Vitolo is a hydrologist and data scientist with experience in developing tools and algorithms to facilitate the retrieval, modelling and visualisation of environmental data. She holds a PhD from Imperial College London and her thesis explored the use of data mining and machine learning techniques for hydrological modelling applications. She authored several R packages and prototyped a number of web applications for Environmental Virtual Observatories dedicated to water scarcity, climate change, hydrological modelling, and air pollution. Claudia likes to organise meetups in the data science field, hackathons, kaggle competitions as well as initiatives to support women in STEM. She co-founded R-Ladies Global, a world-wide organization to promote gender diversity in the R community. She is currently Chief Finance Officer of the R-Ladies Global organisation and a voting member of the R-Consortium Infrastructure Steering Committee. Professional interests: Claudia's research interests are in the development of shared research environments to undertake environmental analysis and provide open access to predictions in data rich and data poor environments. She is passionate about new open technologies (e.g. databases, web services, etc.) and likes to explore their use in the context of environmental applications. Career background: 2016 - presentScientist - Products for high-impact weatherForecast Department at ECMWF, Reading (UK). 2015 - 2016Post-Doctoral Research Fellow in Big Data analytics for environment and healthDepartment of Computer Science and the Institute for Environment Health and Societies, Brunel University London, Uxbridge (UK). 2010 - 2015Research Assistant/Associate in environmental modelling, uncertainty estimation and web services developmentDepartment of Civil and Environmental Engineering,, Imperial College London, London (UK). 2008 - 2010Hydrologist/DeveloperFlood Risk modelling team, Halcrow Group Ltd (now CH2M Hill), Crawley (UK). 2007 - 2008Research EngineerLIDAM laboratory, University Consortium for Research on Great Hazards (C.U.G.RI.), Salerno (IT). 2006 - 2007Research Engineer Centre for Analysis and Monitoring of Environmental Risk (A.M.R.A.), Naples (IT). 2004 - 2006Intern LIDAM laboratory, University Consortium for Research on Great Hazards (C.U.G.RI.), Salerno (IT). External recognitions: AWARDS 2018-19 Microsoft Most Valuable Professional (MVP) Award - Data Platform. This award is given to exceptional technical community leaders who share their remarkable passion, real-world knowledge, and technical expertise with others through demonstration of exemplary commitment. 2010 Halcrow employee of the year Award for the outstanding contribution to the project: Flood Forecasting for the Southern Region in England. 2010 Halcrow Technical Paper Award for the paper "Extreme Rainfall in the Mediterranean". MEMBERSHIPS 2018 - R-Consortium Infrastructure Steering Committee - voting member and R-Ladies project lead. 2018 Associate Editor - Geoscience Data Journal 2017/8 Member of the ECMWF Staff Committee 2016 Member of the International Advisory Committee - Collaborative Conference on Resource and Environmental Science 2011 Student member of the Institution of Civil Engineers in UK 2010 Member of the British Hydrological Society 2004 Chartered Civil Engineer in Italy Publications 2019Louise J. Slater, Guillaume Thirel, Shaun Harrigan, Olivier Delaigue, Alexander Hurley, Abdou Khouakhi, Ilaria Prodoscimi, Claudia Vitolo, Katie Smith (February 2019) Using R in hydrology: a review of recent developments and future directions, Hydrology and Earth System Sciences Discussions, pp. 1–33. DOI: 10.5194/hess-2019-50 Marco Scutari, Claudia Vitolo, Allan Tucker (February 2019) Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation, Statistics and Computing. DOI: 10.1007/s11222-019-09857-1 Claudia Vitolo, Francesca Di Giuseppe, Blazej Krzeminski, Jesus San-Miguel-Ayanz (February 2019) A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Scientific Data. DOI: 10.1038/sdata.2019.32 Claudia Vitolo, Claudia Di Napoli, Francesca Di Giuseppe, Hannah L. Cloke, Florian Pappenberger (June 2019) Mapping combined wildfire and heat stress hazards to improve evidence-based decision making, Environment International, pp. 21–34. DOI: 10.1016/j.envint.2019.03.008 Simone Schauwecker, Estíbaliz Gascón, Shinju Park, Virginia Ruiz-Villanueva, Manfred Schwarb, Daniel Sempere-Torres, Markus Stoffel, Claudia Vitolo, Mario Rohrer (June 2019) Anticipating cascading effects of extreme precipitation with pathway schemes - Three case studies from Europe, Environment International, pp. 291–304. DOI: 10.1016/j.envint.2019.02.072 2018Claudia Vitolo, Juan A. Añel, Francesca Di Giuseppe, Mirko D’Andrea (January 2018) Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs, PLOS ONE. DOI: 10.1371/journal.pone.0189419 Claudia Vitolo, Marco Scutari, Mohamed Ghalaieny, Allan Tucker, Andrew Russell (April 2018) Modeling Air Pollution, Climate, and Health Data Using Bayesian Networks: A Case Study of the English Regions, Earth and Space Science n. 4, pp. 76–88. DOI: 10.1002/2017EA000326 Andrew Russell, Mohamed Ghalaieny, Bella Gazdiyeva, Sara Zhumabayeva, Aygul Kurmanbayeva, Kanat Kambarovich Akhmetov, Yelzhas Mukanov, Meg McCann, Maged Ali, Allan Tucker, Claudia Vitolo, Abraham Althonayan (August 2018) A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs, International Journal of Environmental Research n. 5, pp. 735–748. DOI: 10.1007/s41742-018-0134-7 2017Zed Zulkafli, Katya Perez, Claudia Vitolo, Wouter Buytaert, Timothy Karpouzoglou, Art Dewulf, Bert De Bièvre, Julian Clark, David M. Hannah, Simrita Shaheed (February 2017) User-driven design of decision support systems for polycentric environmental resources management, Environmental Modelling & Software, pp. 58–73. DOI: 10.1016/j.envsoft.2016.10.012 (March 2017) Discover hydrological data using the hddtools R package., The rOpenSci Blog. Claudia Vitolo (January 2017) hddtools: Hydrological Data Discovery Tools, The Journal of Open Source Software n. 9, pp. 56. DOI: 10.21105/joss.00056 2016Claudia Vitolo, Andrew Russell, Allan Tucker (August 2016) rdefra: Interact with the UK AIR Pollution Database from DEFRA, The Journal of Open Source Software n. 4, pp. 51. DOI: 10.21105/joss.00051 Claudia Vitolo, Peter Wells, Martin Dobias, Wouter Buytaert (December 2016) fuse: An R package for ensemble Hydrological Modelling, The Journal of Open Source Software n. 8, pp. 52. DOI: 10.21105/joss.00052 (September 2016) Get air quality data for the United Kingdom using the rdefra package., The rOpenSci Tech-notes. Claudia Vitolo, Matthew Fry, Wouter Buytaert (2016) rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive, The R Journal n. 2, pp. 102. DOI: 10.32614/rj-2016-036 2015M.E. Wilkinson, E. Mackay, P.F. Quinn, M. Stutter, K.J. Beven, C.J.A. MacLeod, M.G. Macklin, Y. Elkhatib, B. Percy, C. Vitolo, P.M. Haygarth (September 2015) A cloud based tool for knowledge exchange on local scale flood risk, Journal of Environmental Management, pp. 38–50. DOI: 10.1016/j.jenvman.2015.06.009 Claudia Vitolo, Yehia Elkhatib, Dominik Reusser, Christopher J.A. Macleod, Wouter Buytaert (January 2015) Web technologies for environmental Big Data, Environmental Modelling & Software, pp. 185–198. DOI: 10.1016/j.envsoft.2014.10.007 (April 2015) Using the Web for Environmental Big Data., The HEPEX blog. 2013 (September 2013) WebGIS applications for the new generation of hydrological models, Proceedings of the Free and Open Source Software for Geospatial (FOSS4G) 2013). 2012 (July 2012) Hydrological Models as Web Services: An Implementation using OGC Standards, Proceedings of the 10th International Conference on Hydroinformatics (HIC-2012). 2010 (May 2010) Extreme rainfall in the Mediterranean, International Workshop ADVANCES IN STATISTICAL HYDROLOGY.