Naveenganesh Muralidharan

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Bench2Batch LLC
Principal Consultant
Naveenganesh Muralidharan is a biopharmaceutical CMC and Manufacturing Science & Technology (MSAT) professional with over 18 years of experience supporting GMP manufacturing, technology transfer, and lifecycle process validation across biologics, gene therapy, oligonucleotides, and RNA-based modalities. His experience spans early-stage process development through commercial readiness, with a strong focus on process characterization, scale-up, process validation, and continued process verification (CPV).
He has held technical and leadership roles at global biopharmaceutical organizations, where he supported clinical and commercial programs using science- and risk-based approaches aligned with FDA and EMA expectations.

Naveen is the Founder and Principal Consultant of Bench2Batch LLC, providing end-to-end CMC lifecycle support to startups, CDMOs, and established biopharmaceutical companies. He is an active technical author and industry contributor and serves in advisory and editorial roles supporting knowledge sharing within the pharmaceutical engineering community.

Related Articles

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iSpeak Blog
Stop Treating Nelson Rule 2 as a Checkbox in Control Charts: A Practical, Risk-Based Way to Interpret Statistical Process Control (SPC) Signals
In biopharmaceutical manufacturing, SPC charts and Nelson Rules are foundational tools for monitoring process performance. Among them, Nelson Rule 2 is widely used to detect potential shifts in process behavior. However, while statistically sound, the rule is often misleading in practice. It evaluates only the direction of data and number of data relative to the mean and ignores the magnitude of...
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iSpeak Blog
The Myth of Bioreactor Scale-Up: A Biology-First Approach to Achieving Robust Manufacturing

Bioreactor scale-up remains one of the most critical challenges in pharmaceutical manufacturing. Traditionally, the industry has approached this challenge through the lens of engineering equivalence, focusing on matching normalized parameters across development and manufacturing scales. Common strategies include maintaining power per unit volume, impeller tip speed, bulk mixing time, or oxygen...