Francisco Javier Falcó Martí
Centre: IUI BIFI
Institution: University of Zaragoza, Zaragoza (Spain)
Position: PhD Student
E-mail: ffalco@unizar.es
Phone: 976762989
Profile: Ver
Personal statement
I graduated in Biotechnology and completed the Master in Biophysics and Quantitative Biotechnology at the University Institute for Research in Biocomputing and Physics of Complex Systems of the University of Zaragoza, which I completed with the Master’s Thesis entitled “Integration of Machine Learning with Thermal Liquid Biopsy (TLB) using serum samples and patient-specific variables analysis for presurgical diagnosis of malignant ovarian tumors”, under the supervision of Olga Abián Franco, David Ortega Alarcón and Adrián Velázquez Campoy. I continued working in the area of bioinformatics as an N4 researcher and, currently, I am developing my PhD Thesis in the PhD Program in Biochemistry and Molecular Biology, under the supervision of Olga Abián Franco and Adrián Velázquez Campoy, in the research lines “Stability and folding of proteins” and “Drug discovery”.
Researcher profile identity
Currently, I am an R1 researcher. My lines of research focus on the application of computational tools for clinical diagnosis and drug development. On the one hand, I work on the integration of Machine Learning and Thermal Liquid Biopsy (TLB) algorithms, complemented with biochemical and clinical data from patients, for early diagnosis of diseases such as ovarian cancer and pancreatic ductal adenocarcinoma. On the other hand, I study the stability of proteins of biomedical interest and perform computational analysis of bioactive molecules identified by massive high-throughput screening. The aim is to evaluate the interaction and modulation capacity of the activity of these pharmacologically relevant target proteins, allowing their subsequent optimization for therapeutic use.
Why my research is important
My research contributes to the generation of new knowledge and tools in the field of bioinformatics applied to biomedicine, facilitating advances in clinical diagnosis and drug development. The integration of Machine Learning algorithms with Thermal Liquid Biopsy (TLB) enhances the detection of diseases for which an early diagnosis is directly related to the prognosis of the disease, in addition to being a procedure easily applicable in clinical practice. On the other hand, the computational study of protein stability and the characterization of bioactive molecules optimizes the identification of potential drugs, accelerating their development and maximizing their therapeutic efficacy. This not only boosts innovation in biomedical research but also produces tangible improvements in society by offering new resources, both diagnostic and therapeutic, which contribute to a better evolution of patients.
Know more about me and my research
– https://bifi.es/es/biofisica/
– LinkedIn: https://www.linkedin.com/in/javierfalcomarti
