Dr. Pavel Zagadailov is a physician and researcher at the forefront of reproductive medicine, with a specialized focus on genetic pooling and the future of assisted reproduction. His published work explores the intersection of genomics, fertility outcomes, and population-level data integration, emphasizing ethical and clinical implications of emerging technologies. Dr. Zagadailov’s research delves into how large language models (LLMs) and AI can be leveraged to synthesize genetic and clinical datasets, driving predictive modeling for embryo selection and personalized IVF protocols. With an eye on advancing reproductive equity and efficiency, he advocates for the responsible use of data in optimizing success rates and minimizing genetic risks. His current work highlights the power of aggregated genomic information—genetic pooling—as a tool for improving reproductive outcomes across diverse populations. As both a clinician and innovator, Dr. Zagadailov is shaping the future of fertility care by integrating cutting-edge computation with deeply human-centered reproductive goals.