About Me
I hold a PhD in Mathematics and an Engineering degree in Computer Science, with experience spanning research, software development, and university teaching.I completed a first postdoctoral fellowship in applied mathematics, followed by a second in artificial intelligence with a focus on healthcare applications.
I am currently working on AI models for clinical analysis and medical decision support.
In parallel, I am interested in optimal transport methods and their connections to improving learning algorithms.
Founder of AxionNest, an academic platform that brings together researchers, students, and engineers within a collaborative scientific network. It enables the community to share educational content.
An educational AI system, currently under development, will soon be able to summarize research articles and automatically generate pedagogical video materials to make knowledge more accessible.
My mission is to develop intelligent tools that support clinical decision-making and enhance the quality of healthcare, with a particular focus on hypertension management and the accurate prediction of blood pressure. By integrating advanced artificial intelligence and machine learning techniques, I aim to create solutions that empower healthcare professionals with timely, data-driven insights to improve patient outcomes. These tools strive to facilitate early diagnosis, personalized treatment plans, and ongoing monitoring, ultimately contributing to more effective and efficient care delivery for individuals affected by cardiovascular conditions.
Mission and Goal
I am committed to advancing research at the intersection of mathematics and applied artificial intelligence, leveraging rigorous mathematical frameworks to drive innovation in AI methodologies. My goal is to develop novel mathematical models and algorithms that address complex real-world problems, thereby enhancing the theoretical foundations and practical applications of AI. This interdisciplinary approach seeks to bridge the gap between abstract mathematical concepts and cutting-edge AI technologies, fostering breakthroughs that contribute to both scientific knowledge and transformative solutions across diverse fields.
I am also dedicated to developing accessible, AI-supported educational technologies that enhance learning experiences and knowledge dissemination. Through AxionNest, I strive to foster a collaborative, human-centered scientific ecosystem that connects researchers, students, and engineers. This platform serves as a hub for sharing educational resources and promoting interdisciplinary collaboration to accelerate innovation and learning. For more information and to engage with this community, please visit AxionNest.
