Our Team
Krina Mehta
Krina Mehta is a translational and quantitative pharmacologist with over 15 years of industry experience advancing model-informed drug discovery and development (MID3) strategies across therapeutic areas and modalities. Her work has supported more than 10 Investigational New Drug (IND) programs by bridging biology, pharmacology, mathematics, and technology to enable efficient, science-driven development of safe and effective medicines.
She founded NAMLink to apply her MID3 expertise to the advancement and adoption of New Approach Methodologies (NAMs). Her vision is to translate data from human-relevant systems—including organ-on-chip platforms and organoids—into actionable insights through in silico translational tools such as physiologically based pharmacokinetic (PBPK) and quantitative systems pharmacology/toxicology (QSP/QST) models. By strategically integrating experimental NAMs with mechanistic modeling and simulation, she aims to make preclinical drug development more predictive, efficient, ethical, and data-driven.
Krina holds a PhD in Quantitative Pharmacology from Leiden University in the Netherlands, an MS in Pharmacometrics from the University of Maryland in the United States, and a BPharm from Saurashtra University in India.
Akshat Shah
Akshat Shah is an applied machine learning and AI engineer with four years of experience building intelligent software systems for real-world business and research applications. His work bridges machine learning, software engineering, data architecture, and business strategy to enable organizations to deploy AI that holds up in production, not just in a controlled test environment.
He is deeply passionate about making AI practically useful in data-intensive fields through production ML engineering. His project work spans predictive modeling pipelines, intelligent extraction and classification systems for complex multi-format datasets, and automated research workflows that reduce the manual overhead of working with large volumes of structured and unstructured data. His vision is to build the technical infrastructure that makes AI a reliable tool in scientific and operational environments, not an experiment that stalls before it reaches the people who need it.
He currently serves as CEO of Aivaura, an AI engineering studio where he leads the design and development of custom machine learning pipelines, natural language processing systems, intelligent document processing solutions, and AI backends built for operational use. He holds a B.Tech in Computer Science and Engineering from Nirma University (India).