About me I am a WASP predoctoral and a part of the Machine Reasoning Lab supervised by Daniel Gnad and co-supervised by Johannes Klaus Fichte. My main research focus is to investigate scalability challenge in AI planning.

Short bio I am working on partial grounding which tackles the scalability challenge from a complementary, structural angle by simplifying the problem representation before the search even begins in the AI planning pipeline. My previous research background spans from reinforcement learning in dynamic networks to mapping AI tasks under best architecture parameters in large-scale AI accelerators.