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Leadership
Our Team
Dr. Maryam Mustafa
Dr. Maryam Mustafa
Hub Director & Principal Investigator
Associate Professor, LUMS

Founder of Awaaz-e-Sehat — Pakistan's first AI-backed, speech-based healthcare platform. Expert in human-centered design of technological systems for diverse, low-resource settings and vulnerable communities. Her research spans AI and health, Ethical and Responsible AI, and HCI.

Prof. Fyezah Jehan
Prof. Fyezah Jehan
Clinical Research Lead
Professor and Chairperson, Department of Paediatrics & Child Health, AKU

A distinguished Paediatrician specializing in Infectious Diseases. Her research spans maternal, newborn, and child health, vaccine-preventable illness, pneumonia, and epidemiology.

Dr. Ihsan Ayyub Qazi
Dr. Ihsan Ayyub Qazi
Lead, Data Analytics
Professor, LUMS

Expert in digital health, trustworthy AI, and digital infrastructure. Leading the development of data systems, risk stratification models, and population health intelligence.

Dr. Agha Ali Raza
Dr. Agha Ali Raza
Lead, Speech and Language Modeling
Associate Professor, LUMS

Expert on Speech and Natural Language Processing, Speech-based Human Computer Interfaces, Machine Learning, and Information & Communication Technologies for Development (ICT4D).

Dr. Zahra Hoodbhoy
Dr. Zahra Hoodbhoy
Clinical Researcher
Associate Professor, AKU

Physician-researcher leading clinical research for the Hub's AI-driven maternal health tools — from risk stratification models to point-of-care technology deployment in low-resource settings.

Hadia Majid
Hadia Majid
MLE Vertical Co-Lead
Associate Professor, LUMS

Chair of Economics at LUMS, where her research examines gender, labour markets, digital inclusion, and development in the Global South. Co-leading monitoring, learning, and evaluation for the Hub's AI tools.

Dr. Farah Said
Dr. Farah Said
MLE Vertical Co-Lead
Associate Professor, LUMS

Economist and Executive Director of the Mahbub ul Haq Research Centre at LUMS, where her research focuses on women's access to resources, intra-household decision-making, and poverty in low-income settings. Co-leading monitoring, learning, and evaluation for the Hub's AI tools.