David Pardo is a Research Professor at Ikerbasque, the University of the Basque Country UPV/EHU, and the Basque Center for Applied Mathematics (BCAM). He has published over 160 research articles and he has given over 260 presentations. In 2011, he was awarded as the best Spanish young researcher in Applied Mathematics by the Spanish Society of Applied Mathematics (SEMA). He leads a European Doctoral Network on self-explainable neural networks for solving partial differential equations, and several national research projects, as well as research contracts with national and international companies. He is now the PI of the research group on Applied Mathematical Modeling, Statistics, and Optimization (MATHMODE) at UPV/EHU and of the sister research group at BCAM on Mathematical Design, Modeling, and Simulations (MATHDES). 

His research interests include physics-informed neural networks, computational electromagnetics, adaptive finite-element and discontinuous Petrov-Galerkin methods, multigrid solvers, deep learning algorithms,  and multiphysics and inverse problems.

Links: (a) Ikerbasque Profile, (b) BCAM Profile.

Inmaculada Arostegui received the B.S. degree in Mathematics from the University of the Basque Country UPV/EHU, the Master of Health Science in Biostatistics from the Johns Hopkins University at Baltimore, Maryland, and the Ph.D. in Science, Mathematics specialty, from the University of the Basque Country UPV/EHU. 

She is a Professor of the Department of Applied Mathematics and Statistics and Operational Research at the School of Science and Technology since 1996 and the team leader of the “Biostatistics Research Group” since 2010 at the University of the Basque Country UPV/EHU. Her main research interest is focused on statistical methodology in biomedical and experimental research. Specific topics of interest are the development and validation of prediction models, modelling patient-reported outcomes (such as health status, health-related quality of life, functional dependence, satisfaction, ...), longitudinal data analysis and risk stratification. She works in Clinical Epidemiology in collaboration with the Clinical Research Unit of the Galdakao Hospital and also in Toxicology, Genetics, and Ecology in collaboration with several research groups at the School of Science and Technology. She has published over 50 scientific articles in experimental and medical research fields.

He defended his doctoral thesis (Cum Laude) in Automation and Industrial Electronics from the University of Navarra in 2006, and a second doctoral thesis in Information and Communication Technologies from the University of Alcalá de Henares in 2013, through which he received the Extraordinary Doctorate Award from said University. He is currently the Knowledge Leader in Analysis and Optimization at TECNALIA, Associate Professor at the University of the Basque Country (UPV / EHU) and Visiting Researcher (by invitation) of the Basque Center for Applied Mathematics (BCAM). His research activity focuses on information theory and coding, data analysis, machine learning, graph theory, heuristics and, in general, descriptive, predictive and predictive analytics for solving problems related to intelligent distribution networks (Smart Grids), telecommunications, operational research, transport and mobility, among many others. In these fields, he has published to date more than 250 scientific-technical publications, edited 6 books, directed 30 TFG / TFM, supervised 8 doctoral theses, participated in 7 patents and directed several research projects. He has been the recipient, on two occasions, of the Torres Quevedo program of the Ministry of Science and Innovation (2007 and 2009). He is a senior member of the IEEE, and has been awarded the "Talent of Bizkaia" award in recognition of his experience and scientific curriculum. He combines his passion for data science with his love of sports and reading.

Irantzu Barrio is an Assistant Professor of the Department of Applied Mathematics and Statistics and Operations Research at the University of the Basque Country UPV/EHU. She obtained from the same university the B.S. degree in Mathematics in 2006 and M.S in Mathematical Modelling, Statistics, and Computation in 2010. In 2015 she received her Ph.D. degree in Mathematics from the University of the Basque Country. Her main research interests are focused on the development of statistical methodology oriented to the resolution of complexities derived from scientific research, mainly in biomedical or experimental areas. Specific topics of interest are the development and validation of prediction models.

Iker Malaina is an assistant professor in the Mathematics department of the University of the Basque Country (UPV/EHU). He is specialized in solving biomedical problems by means of mathematics, and his formation is twofold, since he first obtained the B.S. degree in Mathematics in 2012 and next, the M.S. and Ph.D. degrees both in Biomedical Research, in 2013 and 2017 respectively. For this last degree, he received the Extraordinary Doctorate Award.

His research is focused on the use of artificial intelligence for the development of vaccines, the analysis of cell migration patterns, or the study of biomedical time series. Besides, he collaborates with Cruces University Hospital in the area of obstetrics and gynecology, and is a member of the research group “Innovation in assisted reproduction” of BioCruces Bizkaia Health Research Institute.

Judit Muñoz-Matute is an Ikerbasque tenure-track Researcher at UPV/EHU.

She earned her B.S. and M.S. from the University of the Basque Country (UPV/EHU) and completed her Ph.D. at BCAM, receiving her degree from UPV/EHU in 2019. From 2020 to 2022, she was awarded a Marie Curie Fellowship at the Oden Institute and BCAM.

Josu Doncel is an assistant professor in the Applied Mathematics, Statistics and Operations Research department of the University of the Basque Country. He obtained from the same university an Industrial Engineering degree in 2007, the B.Sc. in Mathematics in 2010 and, in 2011, the MS degree in Applied Maths and Statistics. He received in 2015 the PhD degree from Université de Toulouse (France). He has held research positions at LAAS-CNRS (France), INRIA Grenoble (France) and BCAM-Basque Center for Applied Mathematics (Spain) and teaching positions at the following French universities: ENSIMAG, INSA-Toulouse and IUT-Blagnac. He has also held a visiting professor position at INRIA Paris (France). 

His research interests include the modelling, optimization and performance evaluation of distributed large stochastic systems such as telecommunication networks.

Ander Murua  obtained the Degree in Mathematics at the University of the  Basque Country (UPV/EHU) in 1987. He received his PhD degree from the University of Valladolid under the supervision of Prof. Sanz-Serna in 1995. Since the beginning of his career, he has been  lecturing in the School of Computer Sciences in San Sebastian.  He is full professor at the Department of Computer Science and Artificial Intelligence of UPV/EHU since 2017. 

He has a long experience of research in applied and computational mathemathics,  with special focus on algebraic techniques for differential equations and geometric numerical integration.  He has published over 42 research articles in highly rated scientific journals.  He has been actively collaboration with several well established researchers, in particular in the field of geometric numerical integration (such as E. Hairer, Ph. Chartier, F. Casas, S. Blanes, M.P. Calvo, in addition to his former PhD supervisor) and also in dynamical astronomy (such as Jacques Laskar from the Observatoir de Paris and CNRS).

Elisabete Alberdi studied her degree in Mathematics in the period (1993-1998). She did the first three academic years of the degree in the University of the Basque Country (Leioa) and she finished her studies in the University Complutense (Madrid). She did her doctoral thesis in the Superior School of Engineering of Bilbao, Department of Applied Mathematics, University of the Basque Country (UPV/EHU) under the supervision of Juan José Anza Aguirrezabala. The doctoral program she followed was “Mechanical Engineering of mechanical and structural systems” and the thesis was entitled “Numerical methods for stiff differential equations. Application to the discretization of the Finite Element Method”. 

She has worked in Lea Artibai Vocational Training School in the period 1998-2011, where she has taught in Secondary School and University Levels. Lea Artibai is a cooperative of Mondragon Cooperatives Group and it belongs to the Basque Science Net. 

Since 2011 up to the present she is Assistant Professor in the Civil Engineering School, University of the Basque Country (UPV/EHU), where she teaches Computing in the first course of the degree of Mines and Energy Engineering and in the first course of the Civil Engineering degree.

Julen Alvarez-Aramberri is an assistant professor at the Bilbao School of Engineering at the University of the Basque Country (UPV/EHU).

He received a B.S. in Physics, a M.S. in Quantitative Finance, and a M.S. in Mathematical Modelization and Computation from the University of the Basque Country (UPV/EHU). He also received the Ph.D. in Applied Mathematics (awarded with the Extraordinary Ph.D. Prize of the UPV/EHU) in co-tutelage between the University of Basque Country (UPV/EHU) and the University of Pau in France (INRIA). After two years as a Postdoctoral Fellow at Columbia University in the City of New York (USA), he held the Maria Zambrano Postdoctoral Fellowship at the University of the Basque Country (UPV/EHU) for two years.

His main research interests lie in the area of Computational and Applied Mathematics. In particular, in implementing numerical schemes, methods, and tools to model, simulate, and interpret real-world problems efficiently.

Carlos Gorria is a member of the Department of Applied Mathematics, Statistics and Operations Research of the University of the Basque Country (UPV/EHU). He obtained the Degree in Mathematics at the UPV/EHU in 1995 and he worked in Numerical Analysis. Later on, he continued the training for his doctoral thesis in collaboration with the UPV/EHU and the Mathematical Modeling Department of the Technical University of Denmark. He obtained his Ph.D in 2003. 

Since 1996 up to the present he holds a position as lecturer in the Faculty of Sciences and Technology of the UPV/EHU. He has been teaching the following subjects: Introduction to Numerical Calculus, Numerical methods for solving ordinary differential equations and Mathematical modelling in the third course of the degree in Mathematics and some subjects of general Mathematics and Differential Equations in the first courses of the degree in Chemical Engineering. Since 2016, he is the Director of the Master's program on Mathematical Modeling, Statistics, and Computing, which counts with the participation of the University of the Basque Country, University of Zaragoza, University of Oviedo, University of La Laguna, University of La Rioja, and Public University of Navarra.

Urtzi Ayesta is a CNRS Director of Research working at IRIT (with a secondary appointment at LAAS). He also holds an adjunct lecturer position (part-time appointment funded as an Ikerbasque Professor) in the Computer Science Faculty at the University of the Basque Country.  His research interests include stochastic processes, optimization, control theory and their applications to communication systems and networking. 

Joseba Makazaga studied the Bsc Degree in Informatics in the University of the Basque Country (UPV/EHU) in the period 1984-89. Later he worked in the private industry as programmer-analyst (1989-92) and returned to the university as lecturer in the Computer Engineering Faculty of UPV/EHU. There he continued the training for his doctoral thesis and under the direction of A. Murua he defended his PhD in Donostia in 2007. 

 Since then, he has been collaborating with several well established researchers in the field of Geometric Numerical Integration (such as E. Hairer, Ph. Chartier, F. Casas, S. Blanes, M.P. Calvo, in addition to his former PhD supervisor) and also in dynamical astronomy (such as Jacques Laskar from the Observatoir de Paris and CNRS).

He is member of the department of Computer Science and Artificial Intelligence and from 1992 to the present. He has been teaching several subjects in the Bsc. in Informatics Engineering: Graph Theory, Computer Graphics, Numerical Computation, Scientific Computing.  During 2015-2018, Joseba Makazaga was appointed as Director of the Department of Computer Science and Artificial Intelligence.

Josu Najera Zuloaga is an assistant professor in the Mathematics department of the University of the Basque Country (UPV/EHU).  He obtained from the same university a B.S. degree in Mathematics in 2013 and M.S. in Mathematical Modelling, Statistics, and Computation in 2014. 

In January 2015, he started a position as a Ph.D. student at the Basque Center for Applied Mathematics (BCAM). In December 2017, he obtained his Ph.D. degree in Mathematics and Statistics from the University of the Basque Country. His main research interest is focused on the development of hierarchical regressions, such as longitudinal or multidimensional models, with special application to patient-reported outcomes in the biomedical field.

Mikel Antoñana completed his degree in Computer Engineer at the University of the Basque Country (UPV/EHU) in 1992. He worked in the private industry until 2009 and then, returned to the University. In 2012 he studied a master degree of Computer Engineering and Intelligent Systems at UPV/EHU.  

He received his PhD degree from the University of the Basque Country under the supervision of Joseba Makazaga and Ander Murua in 2017.  Since then, he has been collaborating with his former Ph.D supervisors in his reserach on the efficient numerical integration methods for the Gravitational N-Body Problem. He is currently a part time assistant professor in the Department of Applied Mathematics of the University of the Basque Country.

Ibai Laña received his B.Sc. degree in Computer Engineering from Deusto University, Spain, in 2006, the M.Sc. degree in Advanced Artificial Intelligence from UNED, Spain, in 2014, and the PhD in Artificial Intelligence from UPV/EHU in 2018. He is currently an associate professor at Deusto University and a senior researcher at TECNALIA (Spain). He was a visiting scholar at the Knowledge Engineering and Discovery Research Institute (KEDRI) of the Auckland University of Technology (AUT).

His research interests fall within the intersection of Intelligent Transportation Systems (ITS), machine learning, traffic data analysis, and data science. Ibai has supervised theses in the domain of mobility and energy. He has applied artificial intelligence techniques in industrial and logistics contexts. 

Amaia Iparragirre Letamendia is an interim professor in the Department of Mathematics at the University of the Basque Country (UPV/EHU), working within the Faculty of Science and Technology in Bizkaia. Her area of expertise is Statistics and Operations Research.  

She holds a BSc in Mathematics (2016) and an MSc in Mathematical Modelling, Statistics, and Computing (2017), both from UPV/EHU. She recently completed her PhD at the same university in 2024, with a thesis titled "Development and validation of prediction models for complex sampling data."

I am a member of the Department of Mathematics at the University of the Basque Country (UPV/EHU).  I studied a master in Applied Mechanics that I finished on Sep 2011 after which I enrolled into a Ph.D. supervised by Prof. Celorrio. My dissertation, entitled "Inverse problems in active thermography for cracks characterization", defended on Sep 2017 and, was based on a Discontinuous Galerkin method. From Sep 2017 to Oct 2019, I  worked as a Postdoctoral Fellow in Computational and Applied Mathematics at the Basque Center for Applied Mathematics (BCAM) under the supervision of Prof. Pardo. 

My current research focuses on machine learning methods for solving PDEs,  and solving geophysical inverse problems by using the Finite Element Method and advanced regression methods based on Neural Networks.

Magdalena Strugaru is a member of the Department of Mathematics at the University of the Basque Country (UPV/EHU). Magdalena holds an M.S. in Applied Mathematics from the University of Pau, France. She earned her Ph.D. from the University of Pau under the supervision of Prof. Mohamed Amara and Prof. Rabia Djellouli (California State University, Northridge, USA). Following her doctoral studies, she obtained a postdoctoral fellowship at BCAM.  She later served as a Research Technician at BCAM, specializing in project proposals for competitive funding calls, as well as communication and knowledge transfer activities.

Her research focuses on numerical methods, including deep learning algorithms, for partial differential equations. In addition, she supports the implementation of the MSCA Doctoral Network IN-DEEP through management, communication, and dissemination activities.

Shima Baharlouei is a Ph.D. student in Applied Mathematics at the University of the Basque Country (UPV/EHU). She is a MSCA Doctoral Network fellow of the project IN-DEEP. Her doctoral research is being supervised by Prof. David Pardo (UPV/EHU, BCAM, and Ikerbasque) and Dr. Judit Muñoz-Matute (UPV/EHU, BCAM, and Ikerbasque).

Her research interests lie at the intersection of Numerical Analysis, Scientific Computing, and Machine Learning. She works on developing and analyzing numerical methods for solving Partial Differential Equations (PDEs), employing techniques like Deep Neural Networks (including Physics-Informed Neural Networks - PINNs), Discontinuous Galerkin methods, and has contributed to developing specific approaches such as the Least-Squares-based Neural Network (LS-Net) for tackling parametric PDEs. She holds prior degrees (BSc and MSc) in Applied Mathematics from universities in Iran.  

Xalbador Otxandorena is a Ph.D. student at the University of the Basque Country (UPV/EHU). He obtained a B.Sc. in Mathematics from the same university in 2022, and an M.Sc. in Mathematical Modelling from the University of L'Aquila and the Vienna University of Technology in 2024.

His doctoral research is being supervised by Prof. David Pardo (UPV/EHU, BCAM, Ikerbasque) and Dr. Matteo Croci (BCAM, Ikerbasque). His interests lie in Probability Theory, Numerical Analysis, Partial Differential Equations, and Machine Learning.

Alejandro Duque is a Ph.D. student at the University of the Basque Country (UPV/EHU). He obtained a B.Sc. in Industrial Technologies Engineering from the Public University of Navarre (UPNA) in 2023, and an M.Sc. in Mathematical and Statistical Modelling from the same institution in 2024. 

His doctoral research, supervised by Prof. David Pardo (UPV/EHU, BCAM, Ikerbasque), focuses on tissue harmonic imaging. His work involves the use of physics-informed deep learning methods to incorporate prior knowledge from Partial Differential Equations into artificial intelligence models for ultrasound signal processing.

Leire Garmendia is a Ph.D. student at the University of the Basque Country (UPV/EHU). She obtained a B.Sc. in Mathematics from the same university in 2020, and an M.Sc. in Statistics and Operations Research from the Polytechnic University of Catalonia (UPC) and the University of Barcelona (UB) in 2022.

Her doctoral research is being supervised by Prof. Irantzu Barrio (UPV/EHU, BCAM) and Prof. Gadalupe Gómez (UPC). Her interests lie in Survival Analysis, Multistate Models, and Discrimination Ability.

Gontzal is a PhD student at the Mathematics Department of the University of the Basque Country (UPV/EHU). He obtained a Bachelor's Degree in Mathematics, with a mention in Applied Mathematics, Statistics and Computing. Then, he obtained a Master's Degree in Mathematical Modelling and Investigation, Statistics and Computing, at UPV/EHU. He also got an internship at the IMDEA Networks international research centre in Madrid. 

His research interests include network stochastic modelling.