Pronouns:
She/her
Department:
Biostatistics and Health Data Science
Courses currently teaching:
BSTA 101 Population Health Data Science and BSTA 102 Population Health Data Science | Algorithms Lab.
Degrees earned:
I earned my Ph.D. in Kinesiology, with a focus on Motor Control, from Penn State University, along with a minor in Statistics. I also hold a master’s degree in Biomedical Engineering with a concentration in Neuromuscular Systems, and a bachelor’s degree in Biomedical Engineering (Bioelectric branch) from Azad University of Mashhad, Iran.
What are your research interests?
My research focuses on promoting neuromodulation and developing data-centric analytical tools to support evidence-based decision-making in clinical settings. I’m particularly interested in developing data-driven methods to personalize non-invasive stimulation strategies for individuals with neurological disorders. Moreover, I build data-driven models grounded in the physical principles of motor control to gain objective insights into the neurophysiological states of individuals-both in healthy populations across the lifespan and in those with movement disorders or disabilities, such as spinal cord injury and stroke.
A core aspect of my work is the development of objective biomarkers for tracking the effects of different interventions and disease progression. To this end, I leverage IMU-based motion capture systems, wearable sensors, and force-sensing technologies to quantify motor coordination and synergistic control. These biomarkers are derived from high-density surface EMG, standard EMG, and motion data. My goal is to enhance the accuracy and personalization of neuromodulatory interventions through artificial intelligence and advanced computational methods.
Ultimately, my research aims to reshape clinical practice by making assessment and intervention more objective, personalized, and technology-driven-particularly in the context of neurorehabilitation.
What do you enjoy most about teaching?
What I enjoy most about teaching is helping students develop a love for learning by showing them the practical applications of knowledge. I find it rewarding to witness their growth as they build skills to think more critically and creatively. I especially enjoy encouraging students to go beyond the standard basics of topics.
Why did you choose Lehigh?
Lehigh’s College of Health offers a truly collaborative environment where innovation, data science, and health come together. I was drawn to the university’s strong commitment to interdisciplinary research, its supportive community, and the opportunity to grow both as a researcher and educator in a mission-driven setting.
What was your previous institution?
I was a data scientist at Thomas Jefferson University Hospital, department of Raphael Center for Neurorestoration.