Muhammad Talha is a Machine Learning Resident with the Advanced Technology team at Amii, where he is working with Health Quality Alberta (HQA) in-person at their office in Calgary. He holds a Master’s in Engineering Management from the University of Alberta and a Bachelor’s in Computer Science from the Lahore University of Management Sciences (LUMS). His work bridges the gap between human-computer interaction, applied machine learning, and healthcare technology.

Prior to his Master’s, Talha worked with a US-based company focusing on electronic health record (EHR) applications and development. He has a strong background in health-tech, having developed virtual reality (VR) platforms for both physical and stroke rehabilitation, VR solutions for mental health improvement, and a telehealth mobile app.

In his academic research, Talha’s Master’s thesis spanned Natural Language Processing (NLP), education, mechanical engineering, and biomedical engineering. His graduate work focused on applying machine learning to classify design cognition using Bloom's taxonomy. This research was triangulated with EEG brain-region analytics and human factors in AR-based design environments for engineers. Building on this graduate research, Talha developed AR-CAD, an augmented reality-based CAD tool that he is currently building into a startup.

When Talha is not saving the world, he enjoys going to the gym, swimming, hiking, sketching, reading poetry, and taking walks with a cup of tea.