Skip to main content Skip to navigation

Computer Science News

Show all news items

Dr Fayyaz Minhas joins the department as an Assistant Professor

Fayyaz Minhas

Dr. Fayyaz Minhas (Fayyaz, pron. FAY-YAZ) has recently joined the department as an Assistant Professor. He will be associated with the Tissue Image Analytics (TIA) lab in the Applied Computing division, and will also be working closely on the PathLAKE project.

Prior to joining Warwick, Dr. Minhas worked as a Principal Scientist at Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan since 2007. He has over 8 years of experience of teaching and research in computer science and has taught courses on Machine learning, Bioinformatics, Quantum Programming, Artificial Intelligence, Cancer Bioinformatics, Computational Biomolecular Design, Biometrics, Python Programming, etc. At PIEAS, he was the Principal Investigator of PIEAS Biomedical Informatics Lab as well as PIEAS Data Science Lab. Dr. Minhas is a recipient of the Fulbright scholarship for his Ph.D. in computer science at Colorado State University, USA. Dr. Minhas works on solving problems in biology and medicine using machine learning methods as well as the development of bespoke machine learning algorithms in the domains of biomedical informatics and data science.

At Warwick, Dr. Minhas will be working closely on the PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education) project and is interested in exploring the development and application of machine learning models for integrating cancer pathology and bioinformatics data for improved diagnosis and personalised treatment of cancer.

He loves to work in a collaborative multidisciplinary research environment and keeps his office door open for colleagues, students and friends. He also likes to play volleyball, read poetry and is ever ready to talk about hiking trails in the American Midwest and the north of Pakistan.

Dr Minhas’ academic profile can be accessed at the URL:

Mon 14 Oct 2019, 09:18 | Tags: People Applied Computing