Aditya Seshaditya is a data scientist working at the intersection of quantum computing, digital twins, and artificial intelligence. Through QuaSi, his Berlin based project, he explores the integration of quantum and classical high performance computing and applies machine learning methods such as physics-informed neural networks, DeepONets, and transformer based approaches like PINNFormer to computational fluid dynamics and physical simulation.

His open source work is available on GitHub and includes simulation projects such as physics focused AI for CFD and a cryogenic vessel simulator. You can find him online at https://quasi.digital/.