Dr. Ekaterina Rapinchuk is an assistant professor in the math and CMSE departments, whose research focuses on semi-supervised learning, unsupervised learning and image processing. Applications of her research include classification of high-dimensional data, such as hyperspectral data, and segmentation of images, such as grain images in materials science.
Min Chen is a computational seismologist. Her research interests lie in developing and applying numerical tools, harnessing the power of high performance computing for seismic full waveform inversion, imaging, and interpretation. Her research aims to better understand plate tectonic processes and earthquake rupture processes using high-resolution seismic images.
Adam Alessio’s lab focuses on several translational medical research projects including machine learning for quantitative diagnostics, cardiac perfusion estimation, quantitative PET imaging, radiation dose optimization, and system modeling.
Shinhan Shiu's group focuses on computational and evolutionary biology. Core questions addressed by his group focus on which genomic regions are functional, how molecular functions of genes can be predicted, and how to use genotype information to predict phenotype.
Angela Wilson is a theoretical physical chemist with interests in the development and understanding of computational quantum mechanics methodologies, and studies in heavy element chemistry, catalysis, protein modeling, drug design/understanding of disease, metal organic frameworks, green chemistry, and many other areas. One of the great features of theoretical and computational chemistry is that they can be utilized to investigate a broad array of challenges, and the Wilson research group is engaged in areas as diverse as method development and studies of diatomic molecules to protein modeling and studies of the mechanical properties of materials.
The Bazil lab uses dynamical models to study physiological systems with a focus on cardiac (heart) energetics. These models are built using mass action and enzyme kinetics to describe and characterize the molecular processes that govern cardiac tissue response to injury. The level of detail of our models spans from the biophysical behavior of single enzymes to entire metabolic networks.
Brian O'Shea is a computational astrophysicist whose research focuses on the study of galaxy formation, astrophysical plasmas, and algorithms for massively parallel and high performance computing. He is also one of the lead developers of the Enzo community code (https://enzo-projec.org).