Yining (Sam) Huang

Sam obtained his BS in computer science and statistics from Northwestern. His interest is AI4Science, particularly in biomedical sciences. He seeks to use machine learning to expedite advancement in medicine. His recent research includes generative models for antibody design, graph neural networks for material property prediction, and regularization methods for prediction with low-quality medical data. In addition, Sam is also interested in latent space exploration and reinforcement learning. 

His research interests include AI4Science, AI4Medicine, Graph Neural Networks, Generative Models, Reinforcement Learning. 

Previous Education: