Application of AI/ML in Pharmaceutical Research and Product
Development
Welcome to a 1-Day Intensive National Workshop at
NIPER Hyderabad.
Explore the convergence of
Artificial Intelligence,
Machine Learning, and
Drug Discovery. Learn how
data-driven models, neural networks, and predictive analytics are
transforming pharmaceutical research and product development.
📍 Venue: Auditorium, NIPER Hyderabad 📅 Date: 11 February 2026
National Institute of Pharmaceutical Education and Research
(NIPER) Hyderabad is an Institute of National Importance
dedicated to advanced pharmaceutical education and research.
Located at Balanagar, Hyderabad, NIPER-Hyderabad excels in drug
discovery, formulation development, and pharmaceutical
analytics.
Senior Scientist, Tata Consultancy Services (TCS)
Research
Genrative AI in Drug Discovery and Development From Molecules
to Medicines
Dr. Janardhan Sridhara
AI & Data Science Leader – Analytics CoE, Dr. Reddy’s
Laboratories
An accomplished AI/Data Science leader with 20 years in the
pharmaceutical industry, he combines deep scientific expertise
with a strong record of delivering AI-powered digital
solutions for global pharma and information technology
organizations. He has a work experience of innovation hubs
including AstraZeneca, PharmCADD, Cognizant, Merck, Jubilant,
Hetero Drugs, and VLife, empowering multidisciplinary teams to
accelerate drug discovery and development through advanced
analytics and AI-driven decision-making.
Dr. Moumita Saharay
Assistant Professor, University of Hyderabad
Mr. Nishan Kundu
Associate Director AI & ML, GenAI in Pharma Mumbai
Business development and sales capacity, Novartis
Mallika Alvala
Director- MARS-AI Solutions
With over 15 years of experience in pharmaceutical research
and academia, she specialize in Structure-Based Drug Design
(SBDD), Ligand-Based Drug Design (LBDD), and Molecular
Dynamics Simulations, with a strong focus on oncology and
metabolic disorders. At Natco Pharma, she lead a team focused
on novel small molecule development, target validation, and
computational drug design strategies.
Building, leading, and solving complex problems for 14 years.
Always pushing boundaries and ready for the next challenge.
Dr. Prashant S. Kharkar
Professor at Institute of Chemical Technology (ICT), Mumbai
Drug discovery professional with expertise in Medicinal
Chemistry and Computer-aided Molecular Design (CAMD) with more
than 8 years of research experience (industrial and
post-doctoral).
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