About me

My name is Linh, and I am currently a PhD candidate in the Department of Biomedical Engineering at the University of California, Davis, supervised by Professor Audrey Fan and co-advised by Professor Jinyi Qi. My research focuses on developing advanced imaging techniques to study brain function and improve diagnosis of Alzheimer’s Disease. Within this area, I am particularly interested in quantitative methods and the application of deep learning with multiple modality imagings in aging and dementia.

Before joining UC Davis, I grew up in Vietnam and finished my high school in England, UK. Then, I moved to America in 2014 to study and received my Bachelor’s degree in Science in Bioengineering at the University of California, San Diego.

During my undergraduate time, I have spent a significant time in the industry as a Neuroimaging Specialist at Cortechs.ai (2018-2020), which is a innovating and leading industry in AI-powered imaging biomarkers. Besides, I also worked as a research assistant with Dr. David Peterson (2018-2020) to study about head tremor in cervical dystonia using computer vision. I was a co-author in a paper published here. These experiences inspired me to pursue further to develop a technology to solve the issue of neurodegeneration diseases using advanced imaging techniques.

Besides, I also involved in a research paper as a data science research intern at Prof. Ben Croker’s lab (2019). You can find more about the paper here

News

2025

• July: I presented my poster at AAIC (in Toronto) for my work on “Identifying abnormal brain atrophy in Alzheimer’s Disease using deep learning-based MRI”

2024

• May: I presented my poster at ISMRM (in Singapore) and AAIC (in Philadelphia) for my work on “Deep learning-based estimation of future brain atrophy using baseline MRI and PET”
• March: I was awarded a Biomedical Engineering Group (BMEGG) Travel Award

2023

• July: I presented my poster at AAIC (in Amsterdam)
• June: I had an oral presentation at ISMRM (in Toronto) for my work on “Oxygen extraction fraction mapping between normal cognition and mild cognitive impairment in an elderly cohort using quantitative BOLD” and a poster presentation on “Quantitative BOLD with Variational Bayesian inference: model comparisons with Monte Carlo simulations and in an elderly cohort”
• Feb: I was awarded a Trainee (Educational) stipend from ISMRM

2022

• Aug: I presented at Summer Symposium 2022 via the “Translational Health Deata Science Fellowship” with highlights research connducted by THDS Fellows
• May: Oxygen Extraction Fraction using Quantitative BOLD and cerebral blood flow during vasodilation and Comparison of Quantitative BOLD and MR Vascular Fingerprinting for Mapping Brain Oxygenation were accepted and presented as a poster to ISMRM 2022
• March: I was awarded a Trainee (Educational) Stipend from ISMRM 2022
• Jan: I have been awarded a Translational Health Data Science Fellowship supported by CITRIS, CTSC, and Department of Public Health Sciences in UC Davis. The award was awarded for nine students each year to support research with interdisciplinary fields with a focus on applied human health data science.

2021

• Aug: I was invited to present at the ISMRM endorsed Workshop on MRI Acquisition and Reconstruction 2021
• May: My poster was accepted and presented at Biomedical Engineering Graduatee Group (BMEGG) Symposium in UC Davis 2021