Startups and Entrepreneurs Boosting
Big Data Corporate Innovation
Parallel Session 2.1
The concept is to demonstrate 3 ongoing initiatives to connect startups/ entrepreneurs with Big Data corporates/providers, boosting innovation, solving particular challenges and developing new products/ services.
Nuno Varandas, is EU Projects Expert at F6S (F6S connecting founders with the opportunity), creating and finding new opportunities to support global Founders and support F6S development and global growth through. Before F6S, he took the position of coordinator of SOUL-FI project (FIWARE Accelerator that invested 5.0 Million in Startups), leading H2020 application of IPN ICT lab (focus on mobility, Big Data and IoT) at IPN (non-profit research institute in Portugal). Along his career, Nuno has also been an International Startups Coach. Nuno has solid experience in management in different areas, from Research & Development, Sales, Services and Business Management. Over the past 17 years he has worked in strong global industrial groups (in Portugal, Brazil, Spain and Germany).
Dr Diego López-de-Ipiña
Dr Diego López-de-Ipiña is an associate professor and principal researcher of DeustoTech-Societal Challenges research unit at the University of Deusto in Bilbao, SPAIN. He is interested in how Web of Data, Big Data and Data Science can help to transform society for good. He has been the technical coordinator of several European projects in the area of Open Data and Open Government, as IES Cities or WeLive. He is the Project Coordinator of EDI - European Data Incubator, where he manages the technical services, infrastructure and coaching services offered to companies participating in EDI’s incubation programme.
Ryan Goodman is a Startup Programme Manager at the Open Data Institute. He manages and co-leads the Data Pitch accelerator on behalf of the programme, helping startups, SMEs and Corporates to engage with the programme to help foster open innovation opportunities through the use of data. Ryan’s experience is focused within Project and Programme management, and he has managed a number of European Funded H2020 programmes, which included managing the delivery of ODINE (an EU remote accelerator) and the European Data Science Academy (EDSA).
Julia Palma is an ICT Program Coordinator in Eurecat, a private non-profit technology research center in Catalonia. Julia has a degree in Pharmacy and she later studied Industrial Engineering and did PhD studies in the University of Seville. She is recognised as an expert on International Trade by the ESIC Business and Marketing School. Since 2011, she has managed collaborative projects for different companies related to information technologies, biotechnology and health. She previously had a multidisciplinary background as a researcher, teacher and business developer. Her current responsibilities include representing Eurecat in the European Commission’s working groups in the “Digitising European Industry” initiative and being the Task Force Subgroup leader on Data i-Spaces within the BDVA TF1.SG4.
Roemer is the CEO and founder of Frosha, a startup that helps companies structure and cleans their data with the use of Machine Learning. He has a background in Natural Language Processing, software engineering, and Master Data Management. He co-founded an earlier start-up that was successfully sold in 2014. His current venture, Frosha, was founded in December 2016 and received European Horizon 2020 funding through the Data Pitch 2017 program. Throughout the Data Pitch program, Frosha co-operated with Uniserv GmbH as a data provider.
Daniel Vila Suero
Daniel is the director of Recognai, a spin-off company from the Ontology Engineering Group at Universidad Politécnica de Madrid. During his work at the Ontology Engineering Group, Daniel has participated and led several R&D projects in the fields of linked data and language technologies. During his PhD thesis on Artificial Intelligence (UPM, 2016), Daniel designed, developed and deployed the end-to-end framework powering the datos.bne.es service from the National Library of Spain. Daniel left academia in 2017 to found Recognai, a startup solving data problems by combining natural language processing, knowledge graphs and machine learning.
Marta is a mathematician (USC, 2006) working as a data scientist at Inova Labs. Marta has 12 years of scientific experience in astrophysics within the Spanish Research Council at the Instituto de Astrofísica de Andalucía (IAA-CSIC), where she worked until March 2018. She started her scientific career modelling thermophysical processes in cometary nuclei (PhD thesis, UGR 2013) and since became engaged in other research areas, such as electric atmospheric phenomena and star clusters.
Within this last project, Marta developed an algorithm to detect kinematical structure within star clusters, taking her first steps in data analysis. Her interest in the subject was piqued, leading her to further learning and training (now taking an MSc in Visual Analytics and Big Data at UNIR), and ultimately to her career path change.