Mission

Our research goals can be broadly classified under the themes of artificial intelligence and mathematical methods in theoretical sciences. For the field of A.I., we endeavor to understand the underlying principles and explore novel mechanisms by which neural networks and other A.I. models work. The growth of GPU prowess and education have led to a tremendous evolution in the ways we leverage on artificial intelligence for quantitative modelling. Yet beyond its black box nature, we seek to comprehend the deeper reasons behind its effectiveness, and potential ways by which we can endow A.I. modeling with statistical robustness. In particular, we examine these topics within the context of medical physics and more broadly, biomedical sciences such as radiology and applications in radiation oncology. A secondary research focus of the Center lies in exploring how mathematical methods such as differential geometry, theory of differential equations etc. can be harnessed to construct informative models in natural and applied sciences. Ultimately, these techniques can be useful towards constructing neural network models that are inspired by physical and neurobiological principles, as well as those that complement conventional methods in solving problems in the physical sciences. 

Another important mission of the Center is to furnish educational materials and learning sessions with A.I. as the theme. In particular, we endeavor to make our educational programs accessible at no cost for children coming from underprivileged backgrounds, and in this manner, contribute towards democratizing A.I. education for our younger generation.

If our vision resonates with you, please feel free to drop us an email to explore possibilities for collaboration or to be part of our team !