Turrnum Shahzadi
Turrnum Shahzadi, of Tokyo, Japan, is a Ph.D. candidate at Tokyo Metropolitan University and a researcher specializing in machine learning, computer vision, and medical image analysis. Her current research focuses on developing deep learning methods for automated fasciculation detection in ultrasound to support the diagnosis of neuromuscular disorders.
Alongside her research, Shahzadi has extensive experience in education and programming instruction. She currently teaches programming to young learners in Tokyo, helping students develop technical skills and confidence in technology. Previously, she served as a Lecturer at the University of Gujrat, Pakistan, where she taught programming courses to undergraduate students, mentored learners, evaluated academic progress, and provided constructive feedback to support their development.
With a passion for education, communication, and knowledge sharing, Shahzadi is committed to helping others strengthen their skills and pursue growth opportunities. She hopes to contribute her academic and teaching experience to support youth learning and collaboration.
She is a member of the Sea Dragons Gavel Club Education Committee during the 2026–2027 program year.
- Tokyo, Japan