İrem Bigat completed her Master's degree in Biomedical Engineering at TOBB University of Economics and Technology and is currently pursuing her Ph.D. in the same department. Her research focuses on signal processing, machine learning, and medical acoustic analysis. In particular, she conducts studies on the evaluation of pre- and post-thyroidectomy voice changes using machine learning, EEG-based attention deficit analysis, and pathological voice classification. Bigat has authored numerous original articles published in SCI-E indexed journals and contributes to the development of clinical decision support systems through multidisciplinary approaches.