Dr. Dileep Kumar is an Assistant Professor (Senior Scale) at the Manipal College of Pharmaceutical Sciences (MCOPS), Manipal Academy of Higher Education (MAHE), with extensive teaching and research experience in medicinal chemistry and machine learning–driven drug discovery. His academic contributions include mentoring postgraduate research projects, delivering lectures in advanced pharmaceutical chemistry, and publishing scholarly work in reputed Scopus and Web of Science–indexed journals.

Dr. Kumar’s research integrates machine learning and artificial intelligence with traditional medicinal chemistry approaches to accelerate drug discovery and molecular design. His work focuses on AI-guided synthesis of heterocyclic compounds, machine learning–based development of EGFR inhibitors, and computational modeling of GluN2B-selective modulators for neurodegenerative disorders such as Alzheimer’s disease. Through this interdisciplinary approach, he aims to bridge synthetic chemistry with data-driven predictive modeling to advance precision drug design.

Dr. Dileep Kumar’s research focuses on the synthesis of heterocyclic compounds, chiral drug impurities, and stable isotope–labeled internal standards. His current work explores deuterated curcuminoids and their potential therapeutic benefits. He is actively involved in the design and development of novel GluN2B-selective negative allosteric modulators for neurodegenerative disorders such as Alzheimer’s disease. Additionally, his group employs artificial intelligence and machine learning–guided approaches for rational drug design, particularly in developing EGFR inhibitors for the treatment of breast cancer.

7 year