Responsible for developing innovative artificial intelligence and data mining algorithms for business clients based on state-of-the-art deep learning, causal structural modeling and satellite/drone image comprehension algorithms, implementing Jatopond's mission, sketched by Paul Donato in the 2014 article below (external link):

Principal Data Scientist in Advanced R&D, The Nielsen Company, Inc.Geographic Information Systems R&D: Lead developer of fully automated, satellite-image based land-use, urban sprawl, store density and retail market discovery systems via advanced machine learning and AI algorithms: ensemble CART algos, MDS feature engineering, deep learning convolution networks, etc. (Orfeo, OpenCV, ITK, ptyhon, scikit-learn, Keras/Theano/Tensorflow) . Integration of raster and vector GIS datasets and design of a GIS/SQL database in postgres/postGIS. Developed extensive cloud-based GIS computing platform (AWS, Docker)Consumer Segmentation: Developed machine learning models for demographic-class assignment ("fingerprinting") of people and households inferred from television watch-behavior data collected by cable- and satellite-TV providers (e.g. Comcast, DISH, DirectTV return-path data). Numerous patents and patents pending in computer vision & geospatial marketing intelligence, digital advertising ratings and consumer demographic inference.

Staff Researcher, Neurophysiology Specialist, Arizona Research Laboratories, Division of Neural Systems, Memory and Aging, University of Arizona.Research aimed at a deeper understanding of the neural mechanisms underlying learning, spatial memory, navigation, valuation & aging.Neuroscience Electrophysiology: Designed, executed, and analyzed several experiments with sub-cranial high-density-electrode recordings from behaving animals (rats, primates) both in the discrete (spikes) and continuous (EEG time-series) domain.. Correlating neural recordings with behavioral data from position tracking, 3D-head tracking, 3D-virtual reality performances, eye-tracking, etc. (Matlab, C/C++, Visual Basic, OpenGL)Neuroscience Histology: Analysis of neural activity via confocal microscopy imagery of fluorescent stained immediate early genes expressed in nuclei and cytoplasm . (VTK/ITK, OpenCV)Medical Imaging: Developed cross-entropy based image registration software for aligning CT with MRI images.

Senior Consultant for Neuralynx, Inc. Developed semi-automated clustering software for spike-waveform sorting including user interface.. Invented unsupervised clustering algorithm that outperforms k-means and Gaussian mixture models. (python, C/C++, Qt-toolkit).

Research Associate, Department of Radiation Oncology, University of Arizona.Medical Imaging and Cancer Research: Developed a wavelet-based algorithm for electrical impedance imaging in cancer research. Numerical solution of the inverse Poisson equation with an unknown conductivity field given a redundant set of boundary voltage and current measurements (Matlab, Mathematica, C/C++ ). Research grant supported by General Electric, Inc.