Jorge Mejia is a Principal Research Engineer at the National Acoustic Laboratories (NAL) in Sydney, Australia, where he leads work in clinical and digital innovation technologies for hearing healthcare. He previously served as Head of the Signal Processing Department, where he led research and strategy across core technology areas. His work focuses on developing advanced signal processing and AI-driven solutions to improve how hearing is assessed, managed, and supported. He leads projects that integrate clinical practice with digital platforms, including language-independent hearing tests, adaptive assessment tools, and systems that combine real-world data with clinical insights. Jorge’s research explores speech perception in noise, listening effort, and real-world hearing experiences. He uses a mix of acoustic analysis, wearable data, and machine learning to better understand patient outcomes outside the clinic. He is also driving efforts to build scalable, data-driven tools that support clinicians and improve access to care, with a focus on practical impact across both clinical and remote settings.