Graduated in Business Administration and Management, master's degree in Big Data and Business Intelligence and doctor in Industrial Economics from the University of Valencia. In his doctoral thesis, for which he received the Extraordinary Doctorate Award, he focused on the generation of tools and procedures to build quality datasets. He has participated in various research projects related to the generation of quality data and the proposal of socioeconomic indicators. Some examples are: “Understanding individual behavior in a dynamic context: Information, Culture and Institutions” (PID2021-128228NB-I00IP), funded by the Ministry of Economy and Innovation or “Information, context, characteristics and preferences: mediators of economic change And social. Create effective institutions and committed societies” (AICO/2021/257), funded by the Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana. As a member of the Research Group on Electoral Processes and Public Opinion (GIPEyOP) he has participated in the development of the SEA Database, the most complete database on electoral results in Spain. As director of the Research Group "Defense Economics, Cybersecurity and Protection", he has been the Principal Investigator of the project “A year of war in Ukraine: Spaniards' assessment of the conflict and its involvement in security and the economy”, funded by the Center for Sociological Research (CIS). It has participated in several contracts and transfer agreements, among which the service of identification and analysis of indicators for monitoring the economy of the Valencian Community stands out or the development of a system of functional indicators aimed at collecting, analyzing and transmitting information on the dynamics of culture at the local level.

(he/him) BSc in Mathematics from the University of Valencia. MSc in Actuarial and Financial Sciences from the University of Valencia. PhD in Business from the University of Barcelona. He currently works as a professor at the University from Valencia in the area of Applied Economics and as a technological consultant for the transformation of industry 4.0, optimization of production in factories with Big Data and improved customer service. Chartered actuary with 3+ years of experience training and deploying models of large-scale Machine Learning in multinational insurers for a more accurate customer pricing. Among his publications are methodologies based on Machine Learning to compare years with low mobility of the population (such as 2020 due to Covid-19), in order to rate more precisely to the insured. He also has publications applying and improving Quantile Regression algorithms to predict large risks in data telematics and in the valuation of financial assets with the objective of detect potential losses in portfolios. Finally, he studies interconnection of the financial markets to estimate the impact of anomalous events such as wars and financial crises in other countries.

Interests: Regression Analysis, Automobile Insurance, Risk Assessment, International Finance, Asset Allocation