Speaker Profile
Biography
Dr. K. V. Venkatesh is a Professor in the Department of Chemical Engineering at IIT Bombay and a leading authority in systems biology, applying engineering systems principles to understand complex biological phenomena. Over three decades, his research has focused on uncovering the design principles that connect genotype to phenotype and developing dynamic physiology models of organs and diseases. His work has influenced areas such as drug discovery, wellness, and personalized healthcare.He has mentored over 40 PhD scholars, published nearly 250 papers, and is a Fellow of the National Academy of Sciences, India and is a receipient of several prestigious national awards. Building on this foundation, Dr. Venkatesh founded Metflux Research, a systems-biology-driven precision health company offering personalization and RD solutions that integrate multi-modal biology to enable predictive, preventive, and personalized healthcare. The platform is live in prominent Wellness, Neutra and Healthfood enterprises.
Talk
Precision Health Through Multi-Modal Biology for RD and Personalization
Metflux Research has built a physiology-intelligence platform that unifies multimodal datafrom genomics and microbiome to clinical markers and wearables. Population-level physiology maps advance RD in nutraceuticals, health-foods, and pharma, while explainable pathway insights enable precision-care workflows. We show how real-world implementations of physiology-centric intelligence accelerate product innovation and deliver personalized care across our client projects.
Wellness & Aging Showcase:
IIT Bombay
Metflux is a systems-biology intelligence company that unifies multi-modal data—genomics, microbiome, metabolomics, clinical markers, and wearables—to decode immuno-metabolic physiology. Its platform powers both personalized care pathways and R&D innovation for nutraceutical, health-food, wellness, and pharma partners.
Session Abstract – PMWC 2026 Silicon Valley
The PMWC 2026 Large Scale Data Solutions 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.




