Poster Presenters

 

2025 IMDS Poster Presentations

A data model for population descriptors in genomic research of diverse populations

Stephanie Gogarten, University of Washington

A Data-Driven Approach to Select Amino Acid Sites for Inclusion in the Sieve Analyses of HIV-1 Vaccine Trials

Marthin Mandig, University of Washington

Adaptive AI Models for Personalized Laboratory Reference Intervals

Cindy Zhang, University of Washington Medical Center

AI-Enabled Segmentation of Pathology Images for Prognostic Implications in Triple-Negative Breast Cancer

Khanh Ha, Mittal Lab, Department of Chemical Engineering, University of Washington

Baseline risk factors for concussion using machine learning modeling on the NCAA CARE Consortium dataset

Monica Zigman Suchsland, University of Washington

Case-Based Learning and Technical Knowledge Standardization in Artificial Intelligence and Machine Learning Guides for Clinicians

Nadia Siddiqui, University of Washington School of Medicine

Cohort research with University of Washington ADVANCE network - driving local and multi-site data-driven research on Emergency Department patient cohorts

Jimmy Phuong, Biomedical Informatics and Medical Education, University of Washington

DAESC-GPU: A GPU-powered scalable software for single-cell allele-specific expression analysis

Tengfei Cui, Department of Biostatistics, University of Washington

Deep Learning to Synthesize Dynamic Contrast-Enhanced Breast MRI from Non-Contrast Images for Monitoring Response to Treatment

Suleeporn Sujichantararat, Department of Radiology, University of Washington

Developing Personalized Hearing Devices: Leveraging machine learning to study speech perception in noise

Talat Jabeen, Part-Time Research Consultant, Department of Otolaryngology, Head and Neck Surgery, UW Medicine

Differential Expression Analysis for Spatially Correlated Data

Ana Gabriela Vasconcelos, Department of Biostatistics, University of Washington

Efficient Monitoring of AI-Based Radiology Tools from Real World Data: An Application of Latent Class Modeling

Charles Watt, UW School of Medicine, Department of Radiology

Experimentally Informed Signal Processing with Supervised Independent Components Analysis

Ronak Mehta, Department of Statistics, University of Washington

Focus on the Patient, not the Label: Developing a Computer Vision System to Predict Drug Concentrations from Syringe Labels in the OR

Willis Silliman, Department of Anesthesiology & Pain Medicine, UW Medicine

HearTB: Harnessing Environmental Audio for Recognizing Tuberculosis

Alexander Ching, Cynthia Dong, Peter Wang, Computer Science Graduate Students, University of Washington

High-fidelity predictions of diffusion in the brain microenvironment

Nels Schimek, Department of Chemistry, University of Washington

Identification of pretreatment vascular habitats for the prediction of neoadjuvant therapy response in HER2+ breast cancer

Anum Kazerouni, Department of Radiology, University of Washington

LCL: Lineage-aware Contrastive Learning for scRNA-seq Data

Shizhao (Joshua) Yang, Department of Biostatistics , School of Public Health, University of Washington

Learned Brain Features Inspired by the Multitaper Spectral Density

Alex Bank, Department of Statistics, University of Washington

Listening to the infant brain: Developing brain-based predictive diagnostics for language and learning difficulty in neurodiverse individuals

Farhin Ahmed, UW Medicine Otolaryngology - Head and Neck Surgery

Multimodal Machine Learning for Sudden Cardiac Arrest Prediction: Insights from 12- lead ECG and Electronic Health Record Data Across Time Frames

Surbhi Sharma, Postdoctoral Scholar, University of Washington

Multi-stage Multimodal Deep Learning for Harmonization of Radiology Study Descriptions

Zihan Li, University of Washington

Natural Language Processing to support nurse text messaging for maternal-child health in Kenya: a pilot study

Keshet Ronen, Department of Global Health, University of Washington

Quantifying the impact of modifiable risk and protective factors on mortality among children and young adolescents receiving antiretroviral therapy,

Jiawei He, Department of Health Metrics Sciences, University of Washington

Quantitative Background Parenchymal Enhancement Metrics from MRI as Risk Markers for Future Breast Cancer in Younger Women

Wesley Surento, UW Department of Radiology, UW Department of Biomedical Informatics and Medical Education

Uncovering neural dynamics of reach perturbations induced by cortical optogenetic inhibition using a large-scale optogenetic interface in non-human primates

Noah Stanis, PhD Student, Department of Bioengineering, University of Washington

Wearable Artificial Intelligence Enabled Camera for Automated Syringe and Vial Classification Alerts: A Feasibility Test

Kelly Michaelsen, Department of Anesthesiology and Pain Medicine, University of Washington

 
 
Poster submissions are now closed. Thank you to all who submitted research posters for consideration.