Developing computer vision models to robustly measure physiological metrics from video

• Designed machine learning algorithms (CNN) to segment cell nuclei in spectral microscopy (3D) data sets, and compute cell height• Built OCT imaging simulation using Finite Difference Time Domain (FDTD) modelling technique• Derived theoretical framework for diagnostic biomarkers of interferometric microscopy system• Developed and optimized processing algorithms for functional imaging of spectroscopic OCT: oxygen saturation and nanoscale ultrastructure• C++ and MPI programming to incorporate FDTD into Argonne National Lab supercomputer (Mira)• Lectured several courses of undergraduate biostatistics, Matlab and linear algebra• Secured 2x 2-year grant for 128 million core-hours on Argonne National Lab supercomputer

• Designed and instructed curriculum for incoming engineering undergrads (20 students) • Taught linear and matrix algebra and MATLAB programming

• Programmed in C++, C#, Python and Matlab on production codebase for a 3D scanner which processes stereoscopic images into a 3D surface model of human teeth• Developed tools in Matlab/C# to calibrate a camera using multiple view geometry algorithms• Programmed GUIs to synchronize with hardware in Matlab/C# for QA of production hardware• Designed novel algorithms to analyze 3D dental mesh models (see patents)• Experience in Agile, SCRUM, HIPAA compliance, Azure