Emily Getzen
I am a 5th year Biostatistics PhD student at the University of Pennsylvania advised by Dr. Qi Long. I will be graduating in the Spring of 2024. My research lies at the intersection of machine learning, statistics, and medicine. I primarily focus on the development of deep learning (DL) methods for multimodal EHRs data–this involves methods that can handle both structured and unstructured EHRs data sampled at irregular time intervals. Within this focus, I have also developed methods to assess the impact of access to healthcare on algorithmic fairness. My goal is to build trustworthy and equitable DL methods that fuse multimodal health data (imaging, ‘omics, EHRs, wearables data) for disease prediction. I want to make healthcare more accessible and give people more control over their outcomes.
Contact
Email: egetzen@upenn.edu
Office: 108/109B Blockley Hall | 423 Guardian Drive
Perelman School of Medicine | University of Pennsylvania
Philadelphia, PA 19104
Recent News
08/2023: I finished my summer internship at Apple! I worked with the Core Motion team on developing deep learning pipelines for the Apple Heart and Movement Study.
07/2023: Our paper "Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic" was accepted to the American Medical Informatics Association Annual Symposium! Pre-print to come.
05/2023: I won the ASA Biopharmaceutical Section student scholarship award! Many thanks to my nominators Dr. Qi Long and Dr. John Holmes.
04/2023: Our team was selected to receive Honorable Mention for the NIH Long COVID Computational Challenge (L3C)!
03/2023: I won the 2023 American Statistical Association Gertrude M. Cox Scholarship! Many thanks to my nominators Dr. Qi Long, Dr. John Holmes, and Dr. Danielle Mowery.
03/2023: Our resolution to establish the Pilot GAPSA Meal Swipe Program passed in the General Assembly– $50,000 of the graduate student government budget was used to provide free meal swipes to students facing food insecurity.
02/2023: I won the American Statistical Association Philadelphia Chapter Graduate Student Award! Many thanks to my nominators Dr. Qi Long, Dr. John Holmes, and Dr. Danielle Mowery.
02/2023: Our paper Mining for Equitable Health: Assessing the Impact of Missing Data in Electronic Health Records was highlighted by the Leonard Davis Institute of Health Economics at Penn!
01/2023: Our paper Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record? was accepted for publication in the Journal of Biomedical Informatics!
12/2022: Our GAPSA team successfully advocated for the largest one-time increase in the minimum stipend at the University of Pennsylvania ($30,547 to $38,000). Check out the article published by Penn Today!
09/2022: I won the Best Poster Award at the Second Penn Conference on Big Data in Biomedical and Population Health Sciences!