Abdullah Hashmat

I am an AI researcher and Computer Science graduate focused on the intersection of Machine Learning, Scientific AI, and Computational Biology. My research experience includes LLMs, speech technologies for low-resource languages, benchmark development, molecular property prediction, and generative models for drug discovery.

Currently, I am a Research Fellow at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany, exploring Agentic Systems and Scientific AI. Previously, at DFKI, I worked on bioinformatics and state-space modeling techniques for molecular representation learning.

I am driven by the goal of leveraging AI to advance science, healthcare, and multilingual technologies. My work includes PakBBQ and Pak3H, first author publications at the EMNLP Main Conference in 2025 and 2026. In this line of work, I curate human verified dataset benchmarks for low resource communities and study how AI models behave across languages, cultures, and social contexts. My current work focuses on self evolving scientific hypothesis generation through agentic workflows for inverse molecular design.