Science and innovation
verify, correct, and validate scientific or technical outputs generated by AI systems. This includes: Detecting hallucinations Identifying incorrect biological assumptions Validating scientific accuracy Improving scientific reliability Ideal for: AI biotech systems Research assistants Scientific automation workflows Human expert validation significantly improves reliability of AI-driven scientific processes.
I am a self-taught biologist with a deep curiosity for how life works—and how science can be used to improve it. What drives me is not just the pursuit of knowledge, but the challenge of transforming complex biological systems into practical solutions that meet real human needs. Based in Valencia, where I live with my wife, Paz, and our two sons, Héctor and César, I specialize in bridging science and clinical impact, particularly in fertility, genetics, and molecular diagnostics. I believe that science should not remain in the lab—it must solve problems. This mindset has guided my career and led me to design diagnostic tools now used in fertility clinics worldwide. Since 2016, I have worked as Product Development Manager at iGenomix, leading the design and validation of molecular diagnostic tools to improve fertility outcomes. I manage projects from concept to launch, identifying clinical needs, adapting technologies, and ensuring performance, robustness, and cost-efficiency. I work closely with R&D, clinical, and operational teams to bring new tools into real-world practice.