- AI for life science and health-care
- Programming and Development
- Data Science
- Multidisciplinary \research
Mozhdeh has a diverse academic background in mathematics and information science and technology, with a Ph.D. in chemical engineering. Her research focused on applying machine learning techniques in simulating water and metal-oxide interfaces. Throughout her master's and doctoral studies and an industrial role as a principal scientist, Mozhdeh actively applied mathematical modeling and predictive machine learning techniques to address complex challenges in real-life data scenarios.
In her current role, Mozhdeh leverages her technical background to explore the life-course determinants of early-onset multimorbidity. Her goal is to utilize artificial intelligence to unravel crucial insights in the realm of healthcare research. With a solid foundation in mathematics, information science, and chemical engineering, Mozhdeh exemplifies a multidisciplinary approach in applying cutting-edge technologies to address pressing issues in public health.