Ehsan Aghdam is an AI/ML Engineer at Pangea working on mathematical representations and embedding models for high-dimensional data. His work focuses on developing machine learning systems that identify complex relationships in large and heterogeneous datasets.
Ehsan Khodapanah Aghdam is a PhD student in Computer Science at Vanderbilt University whose research focuses on deep learning, computer vision, and machine learning methods for complex data analysis. His work centers on developing advanced learning models for high-dimensional data, particularly in representation learning, medical image analysis, and large-scale visual data processing.
At Pangea, Ehsan contributes to the development of machine learning models and computational frameworks for analyzing complex datasets. His work includes implementing deep learning models, designing representation learning methods, and supporting the development of scalable machine learning pipelines. By combining techniques from computer vision, statistical learning, and high-dimensional data analysis, he helps build AI systems capable of identifying patterns and relationships in large and heterogeneous datasets.