Bradley J Wheeler

I am a PhD candidate in the School of Computing and Information at the University of Pittsburgh. My research includes work performed in the Center for Sleep and Circadian Science under the mentorship of Dr. Meredith Wallace and the Geoinformatics Laboratory under the mentorship of Dr. Hassan Karimi. I have also been involved in collaborations with the pathology, epidemiology, and statistics departments at the Univeristy of Pittsburgh in addition to industry collaborations.

Prior to my PhD, I earned my Bachelors of Science in Computer Science at the University of Pittsburgh, and worked in industry in Software Engineering and Project Management rolls primarily in the medical and financial domains.

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Research Interests

My interests are in developing methods to model, analyze, and interpret high dimensional unstructured data. In particular I am interested in self-supervised methods for identifying and localizing anomalies in passively sensed data such as image and wearable device data. Current projects include self-supervised methods for anomalous target detection in hyperspectral satellite images, and representation learning methods for modeling physcial and mental health outcomes in time series data from smart watches.

Select Publications and Abstracts

Untangling Correlations Between Positive Affect and Light and Activity Data Using Deep Learning
Wheeler BJ, Hasler BP, Wallace ML
Sleep. 2023. (Oral Presentation and Poster)

Use and Misuse of Random Forest Variable Importance Metrics in Medicine: Demonstrations through Incident Stroke Prediction
Wallace ML, Mentch L, Wheeler BJ, Richards M, Tapia AL, Zhou S, Yi L, Buysse DJ, Redline S
BMC Medical Research Methodology. 2023.

Quantifying Distances Between Non-Elliptical Clusters to Enhance the Identification of Meaningful Emotional Reactivity Subtypes
Wallace ML, McTeague L, Graves JL, Kissel N, Tortora C, Wheeler BJ, Iyengar S
Data Science in Science. 2022.

A Framework to Empirically Determine Optimal Parameters for use in Clinical Analyses of Temporal Sequences
Wheeler BJ, Hasler BP, Wallace ML
The Center for Sleep and Circadian Science Research Day. 2022. (Oral Presentation and Poster)

Machine learning classification of the need for point of care blood gas testing in ventilated patients transported by helicopter emergency medical services
Wheeler BJ, Guyette FX, Martin-Gill C, Wheeler SE
Pathology Informatics Summit. 2022. (Poster)

A semantically driven self-supervised algorithm for detecting anomalies in image sets
Wheeler BJ, Karimi HA
Computer Vision and Image Understanding. 2021.

Machine learning classification of false-positive human immunodeficiency virus screening results
Elkhadrawi M, Stevens BA, Wheeler BJ, Akcakaya M, Wheeler SE Journal of Pathology Informatics. 2021.

Deep learning-enabled semantic inference of individual building damage magnitude from satellite images
Wheeler BJ, Karimi HA
Algorithms. 2020.

Awards and Honors