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Hoi-Ying Holman

Director of Berkeley Synchrotron Infrared Structural Biology Program
Chemist Senior Scientist

Molecular Biophysics and Integrated Bioimaging

  • Cellular and Tissue Imaging

Building: 70A, Room 3317L
Mail Stop: 70A-3317
Phone: (510) 486-5943
Fax: (510) 486-7152
HYHolman@lbl.gov
https://bsisb.lbl.gov/wordpress/

Curriculum Vitae

Research Interests

Hoi-Ying’s research interests are in microbial ecology, geomicrobiology, bioenergy, bioremediation, and bioavailability of chemicals to ecological receptors. As a Director of the Berkeley Synchrotron Infrared Structural Biology (BSISB) imaging program at the Advanced Light Source (ALS), she focuses on developing and providing research communities new synchrotron infrared (SIR) technologies for deciphering the relationship between genome and functional processes, and identifying the connection between the genome and natural environments. She and her team, Sun Choi, Liang Chen, and Giovanni Birarda, were awarded a 2014 R&D 100 award for their development of the Berkeley Lab Multiplex Chemotyping Microarray (MCM). Current technologies in active development in the BSISB program are: SIR nano-spectroscopy, SIR plasmon resonance microscopy, and the integration of SIR spectromicroscopy with ambient IR laser ablation (AIRLAB) mass spectrometry.

Selected Publications

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Whip It: Novel Liquid Jet Makes Droplets March to the Beat

January 23, 2023

An interdisciplinary team has developed a first-of-its-kind, steady-state whipping liquid microjet that produces droplets of uniform size and spacing in a two-dimensional profile. The technology could ultimately lead to advancements in structural biology, climate science, and several industries.

Exploring Microbes in Arctic Soils

August 11, 2022

Neslihan Taş, a research scientist with the Earth and Environmental Sciences Area who is affiliated with the Environmental Genomics and Systems Biology Division, is studying how microbial processes shift as arctic permafrost melts. She’s working with the BSISB team to leverage infrared tools to reveal new patterns in biogeochemical cycles.

Automating Scientific Discoveries

July 28, 2021

As instruments in large-scale user facilities are becoming more powerful, the volume of data and its complexity also grow. To leverage these heightened capabilities and accelerate scientific discoveries, a field known as autonomous discovery has emerged. It uses algorithms to learn from a comparatively little amount of input data and determine the best next experimental steps — all with minimal human intervention.

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