Scientific Leader: Dr Alex Dickson
Pharmacological biophysics / Network modeling / Rare event sampling methods
Scientific Leader: Dr. Matthew Hirn
The CEDAR team works at the interface of harmonic analysis and machine learning. We develop tools that uncover complex, multiscale patterns in high dimensional data by considering the underlying data geometries, invariants, hierarchies and statistics. Our focus is on rigorous mathematical theory coupled with state of the art numerical results in application specific domains. Research areas include:
- Wavelet theory and deep learning (scattering transforms)
- Diffusion based manifold learning
- Smooth (Whitney) extensions and interpolations of data
- Many body problems in quantum chemistry
- Analysis of bio-medical data
Scientific Leader: Dr. Arjun Krishnan
The Krishnan lab develops genomics/computational approaches to gain more nuanced and accurate insights into how our genome relates to health and disease. Combining statistics/machine-learning with large-scale genomic/clinical data, we build models and predictions about the genetic basis of biomedical phenomena, especially in an age-, sex-, and tissue-specific manner. Our overarching goal is to use these methods and insights to transform our ability to link an individual's genomic profiles to her/his physiological traits, disease risks, and clinical outcomes.
Scientific Leader: Dr. Min Chen
MSU Computational Seismology Lab works on analyzing, numerical modeling, and full waveform inversion of seismic array data from various sources, such as earthquakes, explosions, and ambient noise sources. Our goal is to better understand dynamic processes of the Earth on different time and spatial scales.
Scientific Leader: Dr. Michael Murillo
Our group is involved in the two seemingly disparate research directions of computational plasma physics and agent-based modeling. In both cases, we employ computational methods for interacting many-body systems to understand the collective dynamics of the systems we study.
Scientific Leader: Dr. John Verboncoeur
Theoretical and computational plasma physics, with a broad range of applications spanning from low temperature plasmas for lighting, thrusters and materials processing to hot plasmas for fusion; from ultra-cold plasmas to particle accelerators; from beams to pulsed power; and from intense kinetic nonequilibrium plasmas to high power microwaves.
Scientific Leader: Dr. Andrew Christlieb
There are three categories of applications our group considers. The first is related to modeling complex multi physics problems in plasma science. The second area we work on is the development of methods that are aimed at solving interface problems in polymer membranes; think fuel cells, solar cells and batteries. The third area we work on is the development of ultra fast methods (sub-linear methods) for identification of sparse signals.