Michael Lynch

Assistant Professor

Duke University

United States

Research Interests

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About

Michael Lynch is an Assistant Professor at Duke University in the United States. His research areas focus primarily on systems engineering approaches for molecular biology, including the optimization of protein expression and purification methods. Dr. Lynch has contributed extensively to the field through recent articles on enzyme production, bioprocess evaluations, and the engineering of metabolic pathways in microorganisms.

Articles (13)

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2025

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2024

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2024

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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Michael Lynch

Research Interests

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About

Articles (13)

Instant enzymes: Systems engineering approach to rapid low cost production of thermostable molecular biology enzymes

Scalable, robust, high-throughput expression & purification of nanobodies enabled by 2-stage dynamic control

Phase separation methods for protein purification: A meta‐analysis of purification performance and cost‐effectiveness

“Multiagent” Screening Improves Directed Enzyme Evolution by Identifying Epistatic Mutations

Optimization of phosphate-limited autoinduction broth for two-stage heterologous protein expression in Escherichia coli

Two-stage dynamic deregulation of metabolism improves process robustness & scalability in engineered E. coli.

Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity

The bioprocess TEA calculator: An online technoeconomic analysis tool to evaluate the commercial competitiveness of potential bioprocesses

BioSamplr: An open source, low cost automated sampling system for bioreactors

Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli

Escherichia coli Cas1/2 Endonuclease Complex Modifies Self-Targeting CRISPR/Cascade Spacers Reducing Silencing Guide Stability

A critical review on the progress and challenges to a more sustainable, cost competitive synthesis of adipic acid

CRISPR-Cas “Non-Target” Sites Inhibit On-Target Cutting Rates

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