Dr. K.M. Tahsin Hassan Rahit

Biography

My research focuses on computational pathology, spatial transcriptomics, and artificial intelligence, with the overarching goal of advancing precision oncology. I design multimodal deep learning frameworks that integrate whole-slide histopathology images, spatial transcriptomics, radiology scans, and clinical records. By connecting these diverse data sources, my work aims to improve the prediction of treatment outcomes in cancer.

Research Approach

I take an integrative approach in my research. I think no single test or data type can capture the complexity of tumor biology, and my work reflects the belief that real progress comes from linking modalities that traditionally operate in silos. By unifying imaging, molecular, and clinical data, I strive to reveal hidden patterns and mechanisms of therapy resistance that are often overlooked. This approach not only deepens biological understanding but also lays the foundation for AI models that can be validated and deployed in real-world clinical practice.

Key Contributions

During my doctoral studies at the University of Calgary, I developed one of the earliest deep learning frameworks to predict genetic modifiers from whole-genome sequencing data, advancing both the conceptual understanding of modifiers and the technical tools for their discovery. In my postdoctoral work, I have extended these efforts into computational pathology and spatial transcriptomics, helping to uncover tumor–immune interactions that influence response to therapy. Earlier in my academic career, I worked on computational linguistics and natural language processing for low-resource languages, an experience that broadened my perspective on building AI resources that serve both scientific and societal needs.

Other Current Projects

NK Cell Dynamics in Cancer (scRNA-seq Analysis): I am investigating natural killer (NK) cell populations in head and neck cancers using single-cell RNA sequencing. This project aims to uncover functional states and cellular interactions that drive tumor progression and therapy response, offering insights into how NK cells may be harnessed in future immunotherapies.

HPV+ OPSCC Atlas: We are developing a comprehensive single-cell atlas of HPV-positive oropharyngeal squamous cell carcinoma (OPSCC). By mapping the cellular and transcriptional diversity within tumors, this atlas will serve as a reference for understanding immune microenvironments and identifying therapeutic vulnerabilities in HPV-driven cancers.

Microbiome and Metabolome in mCRPC (PARPi Response): In collaboration with POET, this project examines how gut microbiome composition and metabolomic signatures influence response to PARP inhibitors in metastatic castration-resistant prostate cancer (mCRPC). The goal is to identify microbial and metabolic markers that may guide personalized treatment strategies and expand our understanding of therapy resistance.