Harrison's research focuses on utilizing deep learning methodologies in automated subcellular organelle topology-based analysis for cancer cell classification and diagnostics.
Ismail's research is focused on further validating Macroscopic Fluorescence Lifetime Imaging (MFLI), using deep learning approaches for preclinical cancer studies.
Nanxue's research is focused on further validating Macroscopic Fluorescence Lifetime Imaging (MFLI) and Spatial Frequency Domain Imaging (SFDI) parameter measurement / analysis for preclinical assessment of therapeutic response.
Currently associate engineer at Stryker Orthopaedics.
Master Thesis, currently Radar Signal Processing Engineer at Technology Service Corporation, Trumbull, CT.
Master Project, currently at University of Texas Graduate School of Biomedical Sciences, Houston.
Master Project, currently at Medical school, Tulane University.
Master Thesis, currently in the SGP- Siemens Graduate Program, Siemens Healthcare, Malvern, PA.
PhD student, currently Sensing Hardware Engineer Apple Inc., California.
PhD student, currently financial software developer for Bloomberg,NYC.