Team

JUNIOR GROUP LEADER

I am an interdisciplinary scientist with a strong background in translational oncology, computational science and imaging, focused on clarifying and integrating complex data for cancer treatment development. My research focuses on the study of cellular and molecular mechanisms that direct cellular behavior in the context of tumor progression and treatment. During my early career steps I was trained as an imaging specialist (van Rheenen-lab), developing and applying non-invasive and single cell resolution technologies to monitor tumor and therapeutic cell behavior in living animals. Realizing that the field of imaging research was often hampered by the lack of tools to extract meaningful information from the data, I started to specialize in the development of new computational methods for the analysis of complex imaging data. In 2017, I joined the group of Dr. Anne Rios, where I focused on the development of computational techniques to study cellular behavior and perform large-scale tissue phenotyping in order to understand and improve the functionality of cell therapies against cancer. In 2023 I was granted a Junior Principal Investigator fellowship by the "Programa de Atraccion de Talento de la Comunidad de Madrid" that allowed me to start imAIgene-lab dedicated to the development of analytical approaches to discover biological patterns in the context of tumor progression and targeting. Moreover I am receptor of the prestigous "Beca Leonardo a Investigadores y Creadores Culturales" by the Fundacion BBVA in 2023. 

 Hi! My name is Emilio and I am currently pursuing my PhD at imAIgene-lab. It amazes me how two subjects like biology and computer science can be so related and I have been captivated by the scientific advancements achieved in recent years by combining these two sciences.

Therefore, I became a Biotechnologist and Bioinformatician who is eager to unravel all the underlying information contained in confocal microscopy and other imaging techniques using computational power, machine learning and other AI tools. Our focus is to extract as much information as possible from microscopy images, train AI models, and identify new behavioral patterns in both immune and cancer cells. Addittionally, we intend to provide user-friendly open-access image analysis tools, so scientists from all around the globe can benefit from our work to continue to develop new science.

I am very excited for the opportunity I now have at the imAIgene-lab to further develop my skills and take part in scientific advancements.

Hi! Mi name is Jorge and I sort of became bioinformatician while doing my first postdoc at the National Blood Service (London), mostly by necessity as I had to parse large text files. It’s been a while since then and there have been a number of research institutes and startup companies where I have participated in a variety of projects including CNIO, CNIC, Sanger institute and EBI. I have worked in different areas of cancer genomics, production of biomarts, de novo assembly and regenerative agriculture among other projects. It was however something that I very much wanted to explore and never had opportunity to actually do it… well, till now. That is computer vision and artifical intelligence, which I have now the privilege to apply in the context of video microscopy and cancer immunotherapies. 

Hello, my name is Sandra. I have recently finished the higher degree of Clinical and Biomedical Laboratory Technician. I have always been interested in science and nature, and I enjoy learning about both. I ventured into the world of laboratories because I want to contribute my bit to improving people’s lives. I am grateful for the opportunity to be able to work on a project as significant as this and to expand my knowledge and experience. 

Hey guys ! I’m Zaineb, I am currently a student in the Biomedical Engineering program at Polytech Marseille in France. During my studies, I have completed several modules related to the biomedical field, and I have had the opportunity to work on various projects.

I have gained practical experience through an internship last year at the Marie Lannelongue hospital in Paris, where I had the chance to explore the biomedical department within a healthcare setting, and discover the biomedical devices and their management, and the opportunity to test many of them. With the desire to enhance my technical skills and deepen my knowledge in the professional world, specifically in the computational-medical world, which I was always interested in, I am now an intern in imAIgenelab, working on a project in machine learning for biomedical imaging which has introduced me to the fascinating world of imaging technology and allowed me to uncover the intricacies behind it.

 Ahoy! I'm Miguel, and I have an innate passion for immersing myself in the intricate world of technology and artificial intelligence. My journey commenced at the Polytechnical University of Madrid, where I successfully graduated as a software engineer.

Following that, I ventured into the private sector, consistently finding myself embedded in the R&D departments of various companies. My driving force has always been an unwavering commitment to innovation and continuous improvement. My career has ventured into various fields, including aviation, cybersecurity, and banking – seemingly unrelated domains. However, I have consistently discovered avenues to draw upon my previous experiences and apply my knowledge in innovative ways.

From early on, I harboured a profound interest in the application of AI within the realm of healthcare. This interest prompted me to embark on numerous personal side projects, such as classifying Parkinson's patients based on audio data and exploring the relationship between diet and episodes of stomach pain. Over time, this passion evolved, leading me to pursue a master's degree in bioinformatics while simultaneously working. As I approached the culmination of my studies, it became crystal clear to me that this was my calling, the field in which I wanted to make my mark.

This realization ushered me into my current role as a Ph.D. student at the imAIgene-lab, where I am genuinely excited to contribute my extensive background and experience. I firmly believe that images possess the power to convey a wealth of information, facilitating a deeper understanding. As the saying goes, "A picture is worth a thousand words." 

Hi! My name is José Carlos, and I am currently studying a Master in Bioinformatics and Computational Biology at the Universidad Autónoma de Madrid. 

Since I was young, I have been passionate about biology and technology, which was the main reason behind my decision to study Biochemistry. During those years, I was able to learn a multitude of techniques and disciplines that have allowed me to master any task in the laboratory, such as experiment design, sample processing, and interpretation of results, among others. 

I became especially interested in all subjects related to informatics and its applications to the life sciences, as I was instantly attracted by the ability to bridge the gap between the fundamental principles of biology and their use in the real world. This is the reason why I am currently studying Bioinformatics and Computational Biology in Madrid, where I discovered the potential of AI and deep-learning applications in medical analysis. 

Right now, I am completing my master's thesis here at imAIgene-lab, and I couldn't be happier! Here, I am currently working with a cGAN-based deep learning model for the discrimination of subcellular structures (Virtual Multiplexing), developing an AI pipeline for multiplexed morphometric analysis of organoids, and processing video-microscopy data. I am sure this project will help me gain valuable experience in deep learning and AI applications in biomedical research.

 Hey there, it's Alejandra! Science has always been my thing, so I rolled with a Biology degree, with research stints at the Spanish National Centre for Biotechnology (CNB-CSIC) and IMDEA Nanoscience Institute. Following that, I pursued a Master's in Microbiology, conducting research at the Centre for Energy, Environmental and Technological Research (CIEMAT). Later on, I ventured into the pharmaceutical industry, spending two and a half years at a major pharmaceutical company. Starting in the Microbiology area within the Quality Control Department, I then moved to the Equipment & Systems team. During this time, my involvement in digitization projects sparked my interest in computational applications. This curiosity prompted me to dive deeper into the realm where biology meets computation, leading me to enroll in the Master's in Bioinformatics and Computational Biology at Universidad Autónoma de Madrid. My journey has been a constant drive for growth, fueled by my passion for knowledge and innovation. Now, I'm excited to have the incredible opportunity to be part of the imAIgene-lab team. Right from the start, this project clicked with me, as the fusion of biomedical research and computational techniques align with my career aspirations. Oh, and here's the scoop – I've got a soft spot for the artsy side too, so I find the artistic dimension of image analysis particularly inspiring and it converges with my personal passion for photography. As a dedicated advocate for merging life sciences and computational expertise, I am thrilled to contribute my skills and enthusiasm to this field.

After finishing his degree in Pharmacy from the Complutense University of Madrid, Miguel Muñoz began working as a pharmacist, driven by the desire to help others. Simultaneously, he continues to seek opportunities to delve into the research world. In 2018, he embarked on his doctoral thesis in Medicinal Chemistry at the Organic and Pharmaceutical Chemistry lab at the same university, focusing on the discovery of novel drugs for neurodegenerative diseases. It was during this time that he encountered and fell in love with the fields of computational biology and chemistry.

Unable to satisfactorily complete his thesis and faced with a global pandemic, the realms of research and their feasible integration with informatics continue to captivate him. Thus, he embarked on a new journey as a bioinformatician, pursuing education in the Master’s program in Computational Biology and Bioinformatics applied to Personalized Medicine and Health, offered by the Spanish National Cancer Research Center (CNIO) and the Carlos III Health Institute (ISCIII).

Since then, having been fascinated by the possibilities that 2D and 3D imaging can bring to the fields of biomedicine, he is undertaking his final master’s project at imAIgene-lab, under guidance of Maria Alieva as director. He is deeply interested in further education, training and future career opportunities in this field. 

Hello, my name is Álvaro, I have always been fascinated by both life sciences and engineering, which has led me to pursue a degree in Biotechnology. During my undergraduate studies, I had the privilege of meeting like-minded colleagues who shared my passion for making a difference in the world of science.

One of the highlights of my undergraduate journey was the opportunity to participate in the FOWLER competition at San Diego University. Together with my colleagues, we formed a team and were thrilled to secure the second place in the competition. This experience reinforced my belief that with dedication and teamwork, we can achieve remarkable things and truly make an impact.

Inspired by this achievement, I realized that my true calling lay in the field of computational biology. I embarked on my final degree project at IDIPaz, the research center at Hospital la Paz. Motivated to further expand my knowledge and skills, I enrolled in the master's program in Bioinformatics. Now, as I approach its completion, I am excited to have been offered an opportunity to contribute to scientific advancements at the imAIgene-lab. This chance to make a meaningful impact, regardless of its magnitude, fills me with happiness and gratitude.

I am Ana Ballesteros, a graduate in Biology from the Universidad Autónoma de Madrid where I focused on the field of cell biology and genetics. My first approach to the use of computational tools in biomedical research was in the lymphoma group of IDIPHISA.

Currently, I´m studying  the Master in Computational Biology at the Universidad Politécnica de Madrid with great interest in training as an interdisciplinary professional in the field of biomedicine and bioinformatics/computational biology within the imAIgene-lab.