Houston, Texas
Qasem Al-Tashi, PhD
Data Scientist / AI Research Engineer · Research Scientist · AI in Computational Medicine
I build machine learning and deep learning systems that bridge computational medicine, industrial AI, and swarm intelligence — turning research into tools that improve clinical decisions and real-world outcomes.
- Publications
- 60+
- Citations
- 5,900+
- Journal Articles
- 32
- Years in AI Research
- 9+
About
A little about me
I'm a Data Scientist / AI Research Engineer at National Oilwell Varco (NOV) and a former Research Scientist in the Department of Imaging Physics at The University of Texas MD Anderson Cancer Center. My work sits at the intersection of artificial intelligence and computational medicine, with a focus on machine learning and deep learning methods that advance clinical decision-making and improve patient outcomes.
More about me →
Currently
What I'm working on
AI-Powered CT Verification System
Computer VisionDual-camera computer vision system for automated Current Transformer connection verification in manufacturing QA, using OCR, Hough-circle detection, and SVM/KNN classifiers — achieving 100% leave-one-out accuracy.
Enterprise RAG & LLM Decision Support
LLMs / GenAIRetrieval-augmented generation architectures for natural language interfaces to structured databases, document retrieval, and conversational AI for industrial maintenance diagnostics.
Causal AI for Cancer Immunotherapy
Computational MedicineCausal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC (Journal for Immunotherapy of Cancer, 2025).
Swarm Intelligence for Deep Survival Networks
Swarm IntelligenceSwarm-based hyperparameter optimization and feature selection for deep survival networks applied to prognostic radiomics across multiple solid cancers.