3-Minute-Talk, 3 Minute Talk Competition, ITHS, Bozeman, MT, USA
Participate in the 3-minute-talk (3MT) competition held by ITHS as a TL1 fellowship trainee. I presented about the importance of studying glioblastoma’s heterogeneity, the reason for using spatial transcriptomic, and the development of our computational pipelines.
Poster, AMIA Annual Symposium, San Francisco, CA, USA
This study applies an ontology-based natural language processing framework to examine how social determinants of health are documented in clinical discharge notes. The work uncovers disparities in documentation patterns across demographic groups, underscoring the need for more equitable representation of patients’ social contexts in electronic health records.
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Poster, AMIA Informatics Summit, Seattle, WA, USA
Poster presentation on how we built hierarchical bayesian model to predict chemical toxicity with Tox21 data assays. Logistic regression and Naive Bayesian were also built to serve as baseline models to compare with the hierarchical bayesian model.
Poster, NIH PostBaccalaureate Fellow Poster Day, Bethesda, MD, USA
This poster showed the several machine learning models being used to make a multi-level prediction on COVID-19 severity levels using patients’ pre-COVID metabolomic data. The output could further help guide clinical decisions for COVID-19 patients.