Chandrajit Bajaj

Biography

"His interdisciplinary research is focused on the algorithmic and computational mathematics underpinnings of Imaging and Geometry Data Sciences, Computer Graphics, Bio-Informatics and Visualization with applications stemming from bio-medical engineering, physical and chemical sciences and bio-inspired architecture. His commitment to the field of computational and predictive medicine is evidenced by his research focus this past decade. He design and implement scalable solutions for : (a) forward and inverse problems in microscopy, spectroscopy, biomedical imaging; (b) constructing spatially realistic and hierarchical phenomenological models; (c) development of fast high-dimensional search/scoring engines for predicting energetically favorable multi-molecular and cellular complexes; and (d) statistical analysis and interrogative visualization of neuronal form-function. Additionally, he have courtesy appointments and supervise M.S and Ph.D. students from several UT departments, including, biomedical and electrical engineering, neurobiology, and mathematics. His research is currently sponsored by grants from the National Science Foundation (NSF) and the National Institutes of Health (NIH).

Research Interest

Big Data Computational Biology