Bio

I am a Postdoctoral Associate at the Computational Pathology & AI Center of Excellence (CPACE) within the University of Pittsburgh School of Medicine. My research focuses on computer vision and multimodal signal processing, with a particular emphasis on applications in pathology and laboratory medicine.

I earned my PhD in Information Science from the University of Pittsburgh, where my research spanned work at the Center for Sleep and Circadian Science and the Geoinformatics Laboratory. I collaborated closely with the departments of Pathology, Engineering, Statistics, and Psychiatry at the University of Pittsburgh, as well as with industry partners.

I earned my Bachelor of Science in Computer Science from the University of Pittsburgh and spent 15 years in industry, obtaining experience in Software Engineering and Project Management with a focus on the medical and financial domains.

News

• Apr 14, 2025: Awarded Best Poster Presentation Professional Development Award
• Mar 31, 2025: Awarded Paul E. Strandjord Young Investigator Award
• Mar 31, 2025: Abstract accepted, ACLPS 2025, oral presentation
• Nov 26, 2024: Accepted Postdoctoral Associate position, University of Pittsburgh, Computational Pathology
• Nov 5, 2024: Passed thesis defense: Adaptive Ensemble Learning for Anomaly Detection in Hyperspectral Imaging
• Oct 26, 2024: Paper accepted, Remote Sensing
• Oct 15, 2024: Paper accepted, Remote Sensing
• Jul 09, 2024: Abstract accepted, The Laboratory Medicine Congress and Exhibition, Seoul, Korea
• Feb 24, 2023: Abstract accepted, Sleep, oral and poster presentation
• Nov 10, 2022: Outstanding poster award, Center for Sleep and Circadian Science research day
• May 26, 2022: Second place poster, Pathology Informatics Summit
• Apr 25, 2022: Awarded CARRS pilot study grant

Select Publications and Abstracts

Reducing Human Annotation Effort in Image-Based Machine Learning
Wheeler BJ, Pearce TM
Postdoctoral Research Symposium 2025. (Poster)
*Best Poster Presentation Professional Development Award

Pilot HIV false positive classifier: synthetic data to facilitate inter-institutional data sharing
Wheeler BJ, Fraser DR, Rashidi HH, Wheeler SE
ACLPS 2025. (Oral Presentation)
*Paul E. Strandjord Young Investigator Award

Using Deep Learning to Corroborate the Predictive Value of Cell-in-Cell structures in Urine Cytology
Wheeler BJ, Sanghvi AB, Allen E, Callenberg K, Pantanowitz L
Laboratory Medicine Congress & Exhibition 2024. (Poster)

Advancing Algorithmic Adaptability in Hyperspectral Anomaly Detection with Stacking-Based Ensemble Learning
Wheeler BJ, Karimi HA
Remote Sensing. 2024.

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)

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)
*Second place poster

A Semantically Driven Self-Supervised Algorithm for Detecting Anomalies in Image Sets
Wheeler BJ, Karimi HA
Computer Vision and Image Understanding. 2021.

Awards and Honors

• Apr 14, 2025: Best Poster Presentation Professional Development Award
• Mar 31, 2025: Paul E. Strandjord Young Investigator Award.
• Nov 10, 2022: Outstanding poster award, The Center for Sleep and Circadian Science Research Day.
• Apr 26, 2022: Second place poster, Pathology Informatics Summit.
• Mar 25, 2022: Awarded CARRS pilot study grant.

Mentoring

Daley Fraser , Computer Science Undergraduate, Student Researcher. Project: Frederick Honors College (FHC) Research Fellowship 2024 (Faculty Mentor)