Nima Kondori

I am a Master of Applied Science graduate from the University of British Columbia in the field of Artificial Intelligence. My academic journey has been guided by two distinguished professors: Prof. Renjie Liao and Prof. Purang Abolmaesumi, whose has been invaluable in shaping my research interests and approach.

Prior to embarking on my Master’s degree, I gained valuable industry experience as a machine learning platform engineer at Scenebox, a startup that has since been acquired by Applied Intuition. This experience provided me with practical insights into the application of machine learning in real-world scenarios and the challenges of deploying AI solutions at scale.

Research Focus:

• Video Diffusion Models: I am exploring innovative approaches to generate and manipulate video content using advanced machine learning techniques. This research has potential applications in areas such as content creation, video editing, and predictive modeling of dynamic scenes.

• Application of Vision Language Models in Medicine: I am investigating how large-scale vision-language models can be leveraged to improve medical imaging analysis, diagnosis, and treatment planning. This interdisciplinary work combines cutting-edge AI technology with critical healthcare applications.

My educational background includes a Bachelor of Applied Science (BASc) in Electrical Engineering from the University of British Columbia, which provided me with a strong foundation in signal processing, control systems, and computer architecture – all of which complement my current work in AI and machine learning.

If you’re interested in discussing potential collaborations, sharing ideas, or just having a conversation about the latest developments in AI and machine learning, please don’t hesitate to reach out through the connection portals below. I’m always open to connecting with fellow researchers, industry professionals, and anyone passionate about the transformative power of artificial intelligence.