Nien‐Hwa Linda Wang

Nien-Hwa Linda Wang's research focuses on chromatography-based separation methods, particularly simulated moving bed (SMB) systems, used to purify chemicals ranging from sugars and amino acids to rare earth elements and battery metals like lithium, cobalt, nickel, and manganese. Her work applies engineering design and optimization techniques to make large-scale separation and purification processes more efficient, with applications in biotechnology, critical materials recovery, and recycling. A prospective student would likely work on developing or optimizing chromatographic separation processes for industrial or environmental applications.

Publication output has been relatively steady but modest over the past decade, with a peak in 2017, a dip around 2022-2023, and a recent uptick in 2025.

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