The Simons Machine Learning Center (SMLC) is a Simons Foundation funded initiative and is part of the Simons Electron Microscopy Center at the New York Structural Biology Center.
We are building a team of machine learning, computer vision, and computational biology experts to push the boundaries of machine learning and structural biology. Machine learning is transforming protein and structural biology, but new methods are needed to fully integrate machine learning into the structural biology workflow and to incorporate biophysical knowledge into our algorithms. Our mission is to develop machine learning algorithms and software for better understanding and predicting the structures of biological molecules and for linking those structures with functional properties. Our interests span algorithms for accelerating structure determination and image analysis to methods for modeling protein sequence, structure, function, and beyond. As part of NYSBC, we have unprecedented access to state-of-the-art instruments, technologists, and structural biologists.
Learn more about our research.