AItenea Biotech is a biotechnology company promoted by Spanish National Research Council (CSIC) and dedicated to researching and developing drugs, materials, and chemical compounds
“A multidisciplinary team with wide experience that joins forces to give solutions to real problems in society and businesses through a combination of Artificial Intelligence and Science”
Values
We exist to meaningfully contribute to solving the problems and new challenges of the 21st century. Science, technology and innovation at the service of society
INNOVATION
To reach the point of sustainability dreamed by all of us, we need to progress with innovative processes that allow for the development of new sustainable compounds, both respectful with society and the planet and at an acceptable cost
RESEARCH
We believe that scientific research is key to keep on making progresses and positively impacting society
DEVELOPMENT
Professional development and the transference of knowledge are our main values, as these are the only possible means to joining forces and working with a common goal
WORK
Working in the construction of models based on new technologies, such as Artificial Intelligence (Machine Learning and Deep Learning), is essential to achieve sustainable solutions at a low cost
COLLABORATION
Synergies and collaborations between public institutions, private companies and research centres are essential so that individual work can have an effect in the common good
BUILDING
The construction of new models based on evidence in order to sustainably develop drugs, products, compounds and materials
Our team
We are a multidisciplinary team with diverse academic backgrounds and professional experiences. We have built a whole ecosystem of work and values with a clear social purpose and a common goal
PhD in Chemistry from UAM. Senior Scientist at the CIB Margarita Salas (CSIC) with more than 20 years of experience on Chemoinformatics and Bioinformatics as well as on drug development.
Ph.D. in Organic Chemistry from UAM and postdoctoral studies at Emory University. He is currently Associate Professor at the Department of Organic Chemistry of UAM with more than 20 years of experience in Organic Synthesis. His research interests are focused on the development of novel strategies in homogeneous catalysis and mechanistic insights.
Data Scientist and Machine Learning Engineer with knowledge in several areas of Artificial Intelligence (Computer Vision, NLP, Reinforcement Learning).
Bachelor Degree in Business Administration from the Autónoma University of Madrid. Higher Course in Real Estate Analysis and Management from ICADE and hold the title of specialist in Credit Risk Analysis from the Institute of Stock Market Studies (IEB). He is also a Registered Valuer with the Royal Institution Chartered Surveyors (RICS).
He has more than 20 years of professional experience in the financial and real estate sector, he has held positions of responsability in different multinational companies, his previous job was as Director of Corporate Finance at KPMG. In recent years, as an entrepreneur he has created and managed different investment vehicles for the financial, real estate and technology sectors.
Emilio and Ángel have worked together for more than 8 years.
Bachelor Degree in Business Administration from the Autónoma University of Madrid. He taked the Executive Development Program (PDD) at IESE and holds the title of specialist in Capital Markets and Structured Financing from the Institute of Stock Market Studies (IEB). He is also a Registered Valuer with the Royal Institution Chartered Surveyors (RICS)
With more than 25 years of professional experience in the financial and real estate sector, holding positions of responsability in multinational companies (KPMG, BBVA, CBRE, CS ...). He has been a Partner of Corporate Finance at KPMG leading M&A deals in the finance and real estate sector.
As an entrepreneur, he has founded his own Financial Advisory Firm as well as created and managed investment vehicles in the financial, real estate and technology sectors.
Emilio and Ángel have worked together for more than 8 years.
PhD in Computer Science. Associated Professor in the Department of Computer Science and Engineering at the UNS. Senior Scientific at the ICIC/UNS-CONICET. Experience on the development of data science and machine learning methods applied to bioinformatics, cheminformatics, and molecular informatics.
PhD in Chemistry from UCM. Senior Scientist at IQM (CSIC) with more than 30 years of experience on Drug Development.
Postdoctoral Researcher at the Institute of Mathematical Sciences (ICMAT-CSIC). PhD in Stats and Operations Research. Interested in all kinds of (applied) data-driven research.
Spanish Royal Academy of Sciences. AXA-ICMAT Chair in Adversarial Risk Analysis.
He is Full Professor of the Statistics and Operations Research in UCM
He is Full Professor of the Statistics and Operations Research in UCM
María Jimena Martínez holds a PhD in Computer Science from the Universidad Nacional del Sur since 2017. She worked in the BioChemTICs group at the ICIC (UNS-CONICET) from 2012 to 2019. She is currently a postdoctoral fellow and has recently obtained a position as an Assistant Researcher at ISISTAN (UNICEN-CONICET). Her interest focuses on the development of machine learning methods in cheminformatics and polymer informatics.
