Research Fields: Biostatistics/Statistics, Epigenomics, Genomics and Genetics, Machine Learning and Algorithms
PhD Student: Hunter Nisonoff
Her current areas of interest include: computational methods for protein design/optimization/engineering for properties such as expression, fluorescence, binding, stability, etc.; related methods for molecule design and chemical reactions; drug repositioning and discovery; machine learning methods development, and in particular at the intersection of graphical models, neural networks and variational inference, as well as optimizing black box probabilistic functions with pathological regions that can’t be trusted; genetic association studies with complex, high-dimensional traits such as image volumes over time.
