Valladolid, Castilla and Leon, Spain
Hi! I'm David Segovia Rodríguez, a proactive and ambitious Biomedical Engineer with a strong passion for healthcare technology and digital transformation. Currently, I’m pursuing a Master’s in Computational Statistical Information Processing at UCM & UPM. I’m originally from Valladolid, where I studied my Bachelor's degree, but currently living in Madrid. During my studies, I have been deepening my expertise in data analysis, artificial intelligence, and medical data processing. My academic journey has been marked by a strong commitment to innovation in healthcare. My final degree project, awarded the highest grade, focused on applying AI to genetic data of sepsis patients, identifying distinct subgroups based on genetic traits and conducting an in-depth clinical and genetic analysis. Additionally, I have explored areas such as medical robotics, biomedical device optimization, and system integration, equipping me with a multidisciplinary approach essential for technological advancements in healthcare. Beyond academics, I have gained international research experience through an internship in the Czech Republic, where I contributed to a 3D bioprinting project focused on developing and characterizing chitosan-based bioinks for tissue scaffolds. This experience enhanced not only my technical skills but also my adaptability in a professional research environment, reinforcing my ability to work in international settings. I’m eager to start my professional career in the healthcare technology sector, where I can apply my analytical mindset, problem-solving skills, and passion for innovation. I’m particularly interested in roles that leverage AI, data science, and biomedical engineering to drive impactful solutions in healthcare. I’m always open to new challenges and opportunities to contribute to cutting-edge projects in the field. Feel free to connect with me!
Provided private tutoring to high school students (4º ESO) in math, physics, and chemistry. Focused on strengthening foundational concepts, boosting academic confidence, and improving problem-solving skills. Tailored teaching strategies to each student’s learning style to maximize understanding and performance.
-Understanding of Biomaterials: Gain specific knowledge about chitosan as a biomaterial and its applications in 3D bioprinting. -Bioink Preparation: Learn to prepare and optimize bioinks for 3D bioprinting. -3D Bioprinting Skills: Develop skills in operating a 3D bioprinter and understanding the parameters that affect printability. -Material Characterization Techniques: Gain hands-on experience in mechanical testing and microscopy techniques for biomaterial characterization. -Cell Culture Techniques: learn about cell seeding, and how to evaluate cell adhesion and proliferation on scaffolds.