About

Melika Baghi is a PhD student in Industrial and Systems Engineering at the Georgia Institute of Technology. She is concurrently completing a Master of Science degree in Statistics. Her academic training spans industrial engineering, aerospace engineering, and statistics, providing a strong interdisciplinary foundation in data science, optimization, and probabilistic modeling.

Melika’s research focuses on machine learning for high-dimensional and multimodal systems, with an emphasis on reduced-order modeling , representation learning, and uncertainty quantification. Her work aims to develop interpretable and computationally efficient data-driven models for complex engineering and scientific applications, including aerospace systems, healthcare operations, and decision-support problems.

She earned dual bachelor’s degrees in Aerospace Engineering and Industrial Engineering, followed by a Master of Science degree in Industrial Engineering, from Amirkabir University of Technology. Throughout her academic career, she has received multiple competitive fellowships and honors recognizing her scholarly achievements.

In addition to her research, Melika is actively involved in teaching and mentorship. She currently serves as Head Teaching Assistant for a graduate-level high-dimensional data analytics course at Georgia Tech, where she supports instruction in statistical learning, dimensionality reduction, and interpretable machine learning.