Muhammad Faryad is an experienced Maven instructor and Associate Professor at LUMS. He earned his PhD in Engineering Science and Mechanics from The Pennsylvania State University in 2012, where he received the Best Dissertation Award. In 2019, he was honored with the Galleino Denardo Award from the Abdus Salam International Centre for Theoretical Physics (ICTP). He is a Tier 2 IBM Qiskit Advocate, IBM-certified Qiskit 2.x developer, an IBM QAMP Mentor, and a QWorld Instructor. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems.