Welcome to my website!

I am a third-year PhD candidate in the Department of Biomedical Engineering at the University of Michigan, advised by Professor Kelly Arnold. I also hold a fellowship appointment with the Biomedical Informatics and Data Science Training Program from the National Institutes of Health, which is supporting me throughout my PhD journey.

My research focuses on the systems biology of vaginal microbiome using an integrative artificial intelligence (AI) approach. I develop models based on ordinary differential equations (ODEs) to gain new mechanistic insights associated with treatment efficacy for patients with bacterial vaginosis (BV). Additionally, I employ machine learning and deep learning algorithms to conduct time-series analyses of longitudinal data, aiming to predict the occurrence of BV post-menses using pre-menses taxonomy and metabolomics data. Ultimately, I aim to design patient-specific digital twin models to enhance the predictive power of AI models in the prognosis of BV-positive patients and improve AI interpretability.

My research has been published in top-tier journals such as PLOS Computational Biology and Nature Medicine, and has been presented at Biomedical Engineering Society (BMES) conferences.

I also served as the Biomedical Engineer site lead at Paradise Valley Hospital in San Diego, CA, from 2021 to 2023. On this website you can learn more about my projects, education, research, and work experience. If you have any questions, please feel free to contact me.