AI in Drug Discovery
Research-oriented exploration of artificial intelligence and computational methods in modern pharmaceutical drug discovery.
B.Pharm student exploring the intersection of pharmaceutical sciences, computational approaches, drug discovery and emerging healthcare technologies.

I am a Bachelor of Pharmacy student with a growing interest in pharmaceutical research and emerging technologies that can improve the way medicines are discovered, developed and evaluated.
Currently pursuing B.Pharm and developing a strong foundation in pharmaceutical sciences, drug development, pharmacovigilance and research methodology.
My academic interests focus on understanding how modern computational and pharmaceutical approaches can contribute to better drug discovery and healthcare research.
Exploring artificial intelligence, machine learning and computational methods for accelerating drug discovery and development.
Interested in medicinal chemistry, drug candidate synthesis and computer-aided approaches to chemical discovery.
Studying adverse drug reactions, drug safety, signal identification and systematic evaluation of medicine-related risks.
Selected academic projects and research-oriented work.
Research-oriented exploration of artificial intelligence and computational methods in modern pharmaceutical drug discovery.
Academic work exploring retrosynthetic planning, reaction prediction and computational approaches used in synthetic chemistry.
Practical learning involving adverse drug reaction identification, case assessment and drug-safety concepts.
Academic presentations, scientific poster development and research-focused educational activities.
Pursuing B.Pharm with interests spanning pharmaceutical research, drug discovery and emerging healthcare technologies.
Building knowledge around artificial intelligence, computational drug discovery and modern approaches to pharmaceutical research.
Continuing to develop research skills and contribute to meaningful scientific and pharmaceutical innovation.
For academic collaboration, research discussions, professional opportunities or scientific networking.