
Partha Sarathi Ghosh
Associate Director, Cognizant Digital Transformation in Life science R&D and Manufacturing| Solution Architect, Business Development | AI in Drug Discovery | Bio-Informatics, Chem-Informatics|Data Science, AI/ML, LLM

About this speaker
Partha has over 16 years of experience in IT services and IT-enabled services, with a specialization in e-governance, life science R&D, and healthcare industries. Currently, he is serving as a Senior Technical Manager at Cognizant within the Life Science R&D (Discovery) Center of Excellence, working with global pharmaceutical giants.
With a background in AI-enabled digital transformation, cognitive computing, and IT within the life sciences and healthcare domains, Partha has made significant contributions to biotech and bioinformatics. His work has involved applying machine learning and mathematical modeling in drug discovery, including target identification, compound screening, lead discovery, small-molecule optimization, predictive biomarkers, and computational pathology.
He continues to play a vital role in the Life Sciences Research Informatics and Chem Informatics communities, working to revolutionize global healthcare IT services. Partha has over 16 years of experience in IT services and IT-enabled services, with a specialization in e-governance, life science R&D, and healthcare industries. Currently, he is serving as a Senior Technical Manager at Cognizant within the Life Science R&D (Discovery) Center of Excellence, working with global pharmaceutical giants.
Partha has developed deep expertise in Industry 4.0, Lab of the Future, R&D lab automation, ChemInformatics, protein engineering, and AI-based drug discovery. He has substantial experience implementing R&D COTS (Commercial Off-the-Shelf) products such as Benchling, Tetra Science, Knime Analytics, Labware, Labvantage, Xybions, and Biovia, to name a few.
With a background in AI-enabled digital transformation, cognitive computing, and IT within the life sciences and healthcare domains, Partha has made significant contributions to biotech and bioinformatics. His work has involved applying machine learning and mathematical modeling in drug discovery, including target identification, compound screening, lead discovery, small-molecule optimization, predictive biomarkers, and computational pathology.
He continues to play a vital role in the Life Sciences Research Informatics and Chem Informatics communities, working to revolutionize global healthcare IT services.