Bahram Parvin

Bahram Parvin is a Professor at the University of Nevada, Reno, with a laboratory at Lawrence Berkeley National Laboratory (LBNL). His work focuses on developing novel cancer therapeutics through epithelial-stromal signaling research and creating computational methods to identify tumor heterogeneity biomarkers. He teaches courses in Bioimaging, Tissue Engineering, Deep Learning, and Digital Signal Processing (DSP), bridging interdisciplinary research between biomedical and computational domains.

• Research Interests: Cancer therapeutics, tumor heterogeneity, 3D cell culture models, deep learning for medical imaging, and computational biology.
• Awards: Received an R&D100 Award in 2014 for BioSig3D, a pioneering system for high-content screening of 3D cell culture models.
• Key Contributions: BioSig3D, CSTA-NET, MAT3D, and algorithms for nuclei segmentation in histology images.

His recent publications (2025–2014) emphasize advancements in 3D medical image analysis, particularly in oncology and histopathology. Parvin’s work combines experimental and computational approaches to address challenges in tumor profiling and cellular imaging.