I am just a human being. The following descriptions are simply social statuses that I have gained through my life, which you may or may not be interested in.

Research: I am excited about complex interdisciplinary problems in Biomedicine that can be tackled with learning-based systems. I am especially interested in the application of Graph Neural Networks (GNN) in biomedical research. Currently, my research focuses on identifying safe drug combinations for complex diseases with no standard treatments by integrating Systems Medicine and Deep Learning.

Bio: My MSc in Pharmaceutical Science was obtained from Uppsala University and my BSc in Chemistry & Mechanical Engineering (Minor) from the Sharif University of Technology allowed me to enhance my knowledge in a variety of fields, including pharmaceutical modeling, chemical synthesis, computational chemistry, structural biology, molecular dynamics (MD), systems medicine, machine learning (including deep learning) to analyze genomic data, and AI-enhanced drug discovery and development. Among my many exciting projects, I have worked on the DECISION for Liver EU project, in which I identified optimal combinatorial treatments for decompensated cirrhosis. Also, I have developed a geometric deep learning pipeline for targeted protein degradation drug design (in collaboration with Merck KGaA and Boehringer Ingelheim).

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