Maneesha Altekar

Ashland (United States), Wilmington University

Papers

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About

Maneesha Altekar is a leading expert in assay optimization and high-throughput screening (HTS), with a career dedicated to advancing statistical methodologies that accelerate drug discovery. Her seminal work, "Assay Optimization: A Statistical Design of Experiments Approach," published in 2006 and 2007, has garnered over 67 combined citations, establishing her as a key figure in integrating Design of Experiments (DoE) into biological assay development. Altekar’s major contribution lies in addressing the critical bottleneck created by the shift from manual to robotic HTS systems. She demonstrated how modern robotic liquid handling, paired with statistically designed experiments, can drastically reduce assay optimization timelines—a breakthrough that has enabled researchers to achieve robust, reproducible results more efficiently. Her research bridges the gap between statistical theory and practical laboratory workflows, empowering scientists to move beyond trial-and-error methods. Notably, Altekar’s work has influenced both academic and industrial settings, providing a framework for systematic optimization that enhances data quality and resource utilization. Her achievements underscore the transformative power of applying rigorous statistical design to complex biological systems, making her a pivotal resource for students and researchers seeking to streamline assay development in the era of automation.