MBI Class of 2022 Presents Capstone Projects

Project variety highlights breadth of biomedical topics the informatics discipline can impact.

MBI 2022 Capstone presentations

The Master of Biomedical Informatics (MBI) class of 2022 presented their capstone projects in a hybrid in-person/virtual gathering that showcased the variety of topics the discipline can tackle. The bios of all current MBI students are a further indicator of the diversity of career paths an MBI can support.


Capstone Project Title

Student Project Mentor(s)
Time to Treatment Discontinuation in Hormone-Receptor-Positive (HR+) Metastatic Breast Cancer (MBC) Patients following CDK4/6 Inhibitor Treatment, Based on Observational Data Collected Through Patient-Partnered Research Ariel Carmeli Nikhil Wagle, MD; Tianxi Cai, ScD 
Predicting patient response to immunotherapy using peripheral immune signatures of classic Hodgkin lymphoma Kelsey Lu Shirley Liu, PhD; Ming Tang, PhD
Detecting Obstructive Sleep Apnea using Routinely Collected EHR Data Taylor Shishido Susan Redline, PhD, MPH; Brian Cade, PhD 
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infra-Inguinal Endovascular Interventions for Peripheral Arterial Disease Meredith Cox Dania Daye, MD, PhD; Jayashree Kalpathy-Cramer, PhD
Comparative Analysis of Single-cell Transcriptomics Uncover Human Fetal Heart Developmental Features Weixiu “Jenny” Dong Peter Kharchenko, PhD
Prediction of Ubiquitination Sites and Implication for Targeted Protein Degradation Jiaye Chen Shirley Liu, PhD
Deep Learning-Based Integration of Genomics, Histology, and Radiology for Improved Survival Prediction in Glioma Patients Luoting “Lottie” Zhuang Jana Lipkova, PhD; Richard Chen; Faisal Mahmood, PhD 
Genomic correlates of response to immune checkpoint blockade across cancer types Pauline “Polly” Gabrieli Eliezer Van Allen, MD
Validating the use of electronic health record (EHR) phenotyping, to identify sex-based disparities in post-viral disease diagnoses, using Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME / CFS) as a case study Tiffany Tuedor Shawn Murphy, MD, PhD; Victor Castro, MSc; Vivian Gainer, MS
Development of Machine Learning Models to Identify Cases with Drug Rash with Eosinophilia and Systemic Symptoms (DRESS) Syndrome Using Clinical Notes from Electronic Health Records Shijia Zhang Li Zhou, MD, PhD; Liqin Wang, PhD
Transformer versus Traditional Natural Language Processing: How Much Data is Enough for Automated Radiology Report Classification? Eric Yang Jayashree Kalpathy-Cramer, PhD
Predicting Treatment Outcomes from Time-Varying Mechanical Ventilation Treatment Strategies among ARDS Patients in the ICUs Shangshang Wang Finale Doshi-Velez, PhD, MSE, MCS; Li-wei Lehman, MCS, PhD
Development and Evaluation of a Prototype of Redesigned Drug Allergy Alerting Mechanisms Lanting Li Li Zhou, MD, PhD; Diane L. Seger, RPh; Ying-Chih Lo, MD, PhD; Foster Goss, DO, MMSc, FACEP; Heba Edrees, PharmD
Survival Analysis of COVID-19 ARDS Patients using Dynamic Mechanical Ventilation Data Daniel Tan Li Zhou, MD, PhD; Maryam Tavakoli, PhD
Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing Jeongeun “Jane” Kim Yuri Quintana, PhD