-data assimilation of both clinician and patient collected data to forecast physiology and compute new phenotypes
-health care process modeling and analysis
-temporal-focused spectral analysis and information theoretic tools
-mechanistic physiologic models using clinical data
-discovering phenotypes using temporal information within clinical data
-visualizing patient health evolution in an intensive care setting
-deconvolving biases present in clinical data
-computational machinery based on variational inference to discover features that can be used to define phenotypes and other clinically actionable quantities
Deepak Agrawal, PhD, Postdoctoral Fellow
Research Project: Respiratory Mechanics in Acute Respiratory Distress Syndrome
J.N. Stroh, MS, PhD, Bioengineering Postdoctoral Fellow
Research Projects: Traumatic Brain Injury modeling, Insulin-response phenotyping
General Interests: Modeling and Data assimilation
Working with Dr. Albers since September 2019
Jennifer Briggs, Bioengineering PhD candidate, Research Assistant
B.S. Physics and Sports Medicine, Minor in Applied Mathematics, Pepperdine University
Research Projects: Traumatic Brain Injury and Neurocritical Care Modeling
General Interests: Physiological Inference and Data Assimilation
Yanran Wang, PhD candidate, Research Assistant
Research Project: Data assimilation and MCMC in EHR data
Working with Dr. Albers since 9/1/2019
Primary external institutional collaborations: Columbia University, Caltech, Pennsylvania State University, University of Houston, Courant Institute NYU, Colorado School of Mines, NIDDK, University of Potsdam- Germany, Harvard University, Tromso University- Norway, University of Agder- Norway, University of Texas Austin, and the University of California Davis.