Biography
Soheila Molaei obtained her PhD in Large-scale Graph Summarization from the University of Tehran in 2021, having completed her MSc at the same institution in 2016. Her research is primarily focused on deep graph neural networks, probabilistic link prediction, polymer informatics, drug discovery, and clinical AI. Presently, she is engaged in developing generative AI, including large language models (LLMs), to create new polymers that meet specific characteristics.
Google Scholar
Research Interests
- Variational Graph neural networks
- Deep learning
- Probabilistic ML
- Healthcare Informatics
- Polymer Informatics
Current Projects
Soheila Molaei is currently engaged in developing graph link prediction and generative AI technologies to facilitate the creation of new polymers and advance drug discovery.
