When it comes to teaching, nothing is more fulfilling than watching young people succeed, grow, and achieve their goals. I’m deeply committed to fostering a community of AI and technology enthusiasts and helping them reach their full potential. For me, learning is not just about gaining knowledge but also about sharing it and exploring new frontiers together.

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My passion for technology and computer science began with participating in Olympiad inInformatics camps, where I honed my programming skills and gained opportunities to explore computer science further.

During my undergraduate studies at the University of Edinburgh, I had the privilege of taking a computer vision course with Prof. Bob Fisher, whose teaching inspired me to delve deeper into this fascinating field. Building on my interest in bioinformatics, I decided to pursue a PhD focusing on neuron morphology analysis—including reconstruction, centerline extraction, segmentation, and multi-modal comparison—under the guidance of Dr. Gavriil Tsechpenakis.

After earning my PhD, I spent six years at Thammasat University, teaching courses ranging from Python programming and linear algebra to machine learning and computer vision. I was part of the Data Science and Innovation program, which focuses on applying data science to social sciences. While I enjoyed this role, my true research passion lies in computer vision and biomedical imaging, which ultimately led me to CMKL University.

My passion for computer vision has only deepened over time. With AI driving innovation, computer vision has evolved from a standalone discipline into one that thrives on integration, such as with multimodal models that combine diverse data types to uncover new insights. The rapid pace of AI research brings endless opportunities, new directions, and ground breaking applications. It’s an incredibly exciting time to be part of this field!