SupervisoryTeam

Supervisor Photo

Consuelo Pizarro Millán

Supervisor Details

Email: consuelo.pizarro@unirioja.es

Organization Type: University

Organization Name: University of La Rioja

Short Biography: Consuelo Pizarro is Full Professor of Analytical Chemistry and Head of the “Process Analysis and Chemometrics” research group at the University of La Rioja. Her multidisciplinary research group has always be driven to face real problems in industrial, agro-food and bioanalytical contexts thanks to the combination of powerful analytical technologies (both spectroscopic and chromatographic) and advanced chemometric tools. Specific research interests include food fingerprinting and authentication, optimization of industrial processes, and development and validation of analytical methods based on separation techniques. Over the last years her research group has focused towards bioanalytical chemistry and metabolomics, particularly towards exploratory analysis of complex biological systems and biomarker discovery.

Supervisor Photo

Javier Ridruejo Pérez

Co-Supervisor Details

Email: javier.ridruejo@bosonit.com

Organization Type: Non-academic institution

Organization Name: BOSONIT SL

Short Biography: Javier holds a PhD in Computer Engineering, and has extensive training in technological innovation management, cluster management, etc. Javier has an extensive experience in the management of R&D projects in different sectors, as a project and programme manager in different technology centers. Subsequently, he was the Technology Director of the Federation of Entrepreneurs of La Rioja, in addition to leading the Spanish Network of Smart Cities, at a national level. He has led relevant EU funded projects, linked to public administration, in La Rioja. Currently Javier applies his experience in the field of innovation, as well as in the field of Public Administration, as CIO in Bosonit. Additionally, Javier participates in the advisory boards of several committees and platforms (AENOR technical committee for the standardization of smart cities, infrastructure sub-committee, National Digital Trust Forum of the Secretary of State for Telecommunications, CEOE R&D committee on behalf of FER…

Added Value: Bosonit, and Javier in his role of co-supervisor, will provide the researcher with an insight into the potential application of currently relevant technologies such as Big Data and Artificial Intelligence in a wide range of industry sectors. In addition to a business perspective, Bosonit has a relevant track record in the field of R&D, with several individual and cooperative projects at national and European level. Thus, Bosonit offers the researcher an enriching ecosystem of companies and academic collaborators for their professional development.

Other Co-Supervisor Photo

Monica Casale

Other Co-Supervisor

Email: monica.casale@unige.it

Organization Type: University

Organization Name: University of Genoa, Italy

Short Biography: Dr. Monica Casale got her MSc degree in Pharmaceutical Chemistry and Technology, cum laude, in 2003 and her PhD in Medical, Food and Cosmetic Sciences in 2007, at the University of Genova (Italy). She is currently Associate Professor in the Research Group in Analytical Chemistry and Chemometrics at the University of Genova, Department of Pharmacy. Research Interests: scientific activity in theoretical and applicative Chemometrics and development of advanced and non-destructive analytical methods for food traceability and clinical-diagnostic problems. Collaborations, demonstrated by scientific publications, with numerous research groups from national or international Universities or Research Institutes. She spent 3 periods of Training Abroad. She was Scientific Referent and participant of several research projects and Supervisor of 3 PhD students and for many Bachelor's and Master's theses. Awarded as the BuchiNirAward during the ‘14th International Conference on NIR' held in Bangkok in 2009. She is actually President of the Italian Society of NIR Spectroscopy -SISNIR (since October 2016) and member of the Italian Chemical Society (SCI) since 2008.

Added Value: The co-supervisor's extensive experience and demonstrated collaborations with various national and international research groups underscore their significant contribution to the project. Their expertise in developing and optimizing advanced analytical methods, particularly in the areas of food traceability and clinical diagnostics, presents valuable opportunities for expanding networks and fostering industry connections, thereby facilitating the transition to applied research and bringing technology closer to the market. Additionally, their engagement with non-academic institutions within industry clusters and participation in international projects exemplify their commitment to promoting business and product development, thereby enhancing the project's potential for patents, trainings, and career development, ultimately bolstering the project's overall employability prospects.

ResearchGroup

Description: The research group "Process Analysis and Chemometrics" is composed of the following permanent members: Consuelo Pizarro Millán. University Professor and Principal Investigator. José María González Sáiz. University Professor. Isabel Esteban Diez. Associate Professor. This research group has been working for nearly 15 years in the proposed research line. The most relevant scientific-technical contributions obtained over the years in this field are as follows: - Development of new sample preparation methodologies for lipid extraction in serum and plasma samples. - Development and optimization of various instrumental analytical platforms (UPLC-ESI/MS, GC-MS, IR spectroscopy, NMR) that allow the acquisition of non-specific lipid profiles in serum and plasma samples. - Development and application of Big Data methodologies for multivariate analysis for proper preprocessing of the recorded non-specific profiles. - Identification of lipid biomarkers in neurodegenerative diseases with high discriminative and/or modeling power among different sub-populations of patients Website: https://investigacion.unirioja.es/grupos/53/detalle

ResearchLine

Description: Research line: Tecnologías para la detección precoz y diagnóstico de la enfermedad. PROGRAMA DE DOCTORADO EN QUÍMICA (PLAN 781D) (University of La Rioja). http://www.unirioja.es/estudios/doctorado/781D/intro.shtml Medical diagnosis plays a crucial role in guiding disease treatment and predicting patient outcomes. It involves a meticulous evaluation of the patient's medical history, a comprehensive physical examination, and the use of various diagnostic tests to identify the presence of pathological conditions. Over the years, diagnostic tests have witnessed significant technological advancements, leading to the emergence of infrared spectroscopy (IR) as a promising, non-invasive, and cost-effective tool for detecting and categorizing diseases. IR's potential lies in its ability to provide precise and quick results, making it an ideal candidate for expediting the diagnostic process and improving patient care.

Others

Description: The research will implement a green strategy based on the following guidelines: - Reducing, reusing, and recycling resources. - Promoting the use of environmentally friendly materials for project-related purposes. - Ensuring the sustainability of project events. - Using low-emission forms of transportation. - Promoting teleconferencing whenever feasible. - Raising awareness about environmental sustainability. - Sharing ideas and examples of best practices. The project aims to diagnose and prognose various health conditions using instrumentation that requires no sample pretreatment, thereby eliminating the need for organic solvents or water. The developed algorithms will adhere to ethical standards in AI behavior.

CareerDevelopment

Objectives

  • Increased employability in the non-academic sector
  • International mobility
  • Building collaborative networks
  • Trainings to enhance career opportunities
  • Application of postdoctoral grants (MSCA, Juan de la Cierva, etc.)
  • Application for projects and funding (Horizon Europe, national plans, etc.)
  • Involvement in teaching, supervision, or mentoring

Expected Outputs

  • PhD defense
  • Application of grants (MSCA, Juan de la Cierva, etc.)
  • Publication of articles
  • Developing new products, solutions, or services
  • Attendance to international conferences

Training Skills

  • Time Management
  • Grant Writing
  • Communication to the civil society and public engagement
  • Open Science
  • Gender and diversity dimension of research
  • Ethics and Research Integrity
  • Supervision
  • Policy making, such as Green Deal and sustainable practices
  • Research Valorization
  • Leadership
  • Training for job interviews, CV writing
  • Advanced Digital Skills
  • Responsible use of Artificial Intelligence
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