Speaker Profile

CEO & Co-Founder, Aganitha AI

Biography
As a co-founder of Aganitha, Vikram has been engaged with global biopharma to bring innovations in Machine Learning and AI to drug discovery. Aganitha is focused on accelerating drug discovery and development using the power of deep science and deep tech. An early AI researcher at IIT Bombay and UC Santa Cruz, Vikram is a serial entrepreneur and a founder of multiple Silicon Valley startups. He previously served as Chief Technologist Head of Enterprise Transformation at HCL Technologies a global technology services company. He holds several patents in analytics and data management.


Talk
Beyond the Hype - AI Case Studies Accelerating Biopharma RD
Our case studies illustrate how generative AI & in silico modeling mine insights from deep science enabled by high-throughput and single-cell methods to transform disease research, therapeutic design, trial design & indication expansion.This delivers better targets and biomarkers, faster design, characterization & optimization of therapeutics (SMOLs, Antibodies, ASOs & ACGTs), smart cohorts, companion diagnostics and effective end points.


AI and Data Sciences Showcase:
Aganitha AI

Aganitha partners with global pharma to bring novel medicines to market faster. Physics based chemistry, omics enriched biology, generative AI based drug design and tech innovations power our offerings in oncology, auto-immune disorders, CNS disorders, rare genetic disorders, metabolic disorders, and infectious diseases.

 Session Abstract – PMWC 2025 Silicon Valley

Showcase Track S1 - February 5 9.00 A.M.-3.45 P.M.,Showcase Track S1 - February 6 9.45 A.M.-4.00 P.M.,Showcase Track S1 - February 7 11.15 A.M.-2.00 P.M.


The PMWC 2025 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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