Summary
Bilal Mirza is an Associate Director in Clinical Artificial Intelligence with 8+ years of hands-on experience and over a decade in applied ML across healthcare, pharma, energy, IoT and robotics. He bridges deep academic research—PhD and UCLA postdoc work on multi-omics and cardiovascular ML—with product-focused AI/ML solutions deployed at Janssen, AbbVie and industry teams. Bilal has authored influential papers on concept/data drift and production-ready algorithms adopted by other researchers, and he routinely reviews for top AI journals and conferences. He excels at translating state-of-the-art methods (computer vision, reinforcement learning, NLP and deep generative models) into clinical and operational workflows like dynamic site monitoring and resource forecasting. Known for building scalable, custom GPU/parallel solutions and edge deployments (e.g., Nvidia Jetson), he blends research rigor with pragmatic engineering leadership. Bilingual and cross-cultural, he thrives leading multidisciplinary teams from startup to enterprise settings.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering (Information Engineering), Doctor of Philosophy - PhD, Electrical and Electronics Engineering (Information Engineering) at Nanyang Technological University
Postdoctoral Scholar, Data Science, Postdoctoral Scholar, Data Science at David Geffen School of Medicine at UCLA
Bachelor of Engineering - BE, Electronics, Bachelor of Engineering - BE, Electronics at NED University of Engineering and Technology