Mahan Gholam Azad

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About

Mahan Gholam Azad is a forward-looking researcher at the intersection of artificial intelligence and pharmaceutical science. His work centers on evaluating the real-world impact of AI-driven drug discovery, critically assessing both its transformative potential and its current limitations. In his highly cited 2025 paper, “Leading artificial intelligence–driven drug discovery platforms: 2025 landscape and global outlook,” Gholam Azad provides a comprehensive analysis of the major AI platforms reshaping the industry, earning 12 citations for its timely and practical insights. He further explores the tension between speed and reliability in AI-assisted drug development in his provocative follow-up, “Artificial intelligence–assisted drug discovery in 2025: Faster, but is it better? The robots are coming, look out!” which challenges the field to balance innovation with rigorous validation. By bridging technical advances with critical evaluation, Gholam Azad offers a valuable perspective for students and researchers navigating the rapidly evolving landscape of computational drug discovery.