Tahmineh Alizadeh is a Ph.D. student in Biomedical Engineering at the University of Texas at Arlington, where she also received her Master's degree in Applied Statistics and Data Science. Her research interests are in neuroscience, psychiatry, and artificial intelligence, especially applying machine learning and deep learning to multimodal neuroimaging data. She focuses on PTSD and depression, aiming to build interpretable AI models that identify biomarkers and predict treatment outcomes.
She previously gained valuable research experience at UT Southwestern Medical Center, where she worked on deep learning approaches for medical imaging. This experience strengthened her background in building advanced AI models for complex biomedical data, providing a solid foundation for her current work in neuroimaging and psychiatry.
Outside of academics, Tahmineh enjoys working out at the gym, walking, traveling, and socializing. She values creativity, continuous learning and connecting science to real-world impact.