Working on multiple projects to process documents using machine learning (Natural Language Processing and Computer Vision).

o Principal Investigator (PI) for multiple projects:1. US Air Force Unmanned Aerial Vehicle (UAV) airport calibration project for Instrument Landing Systems (including winning a $2.85M award to mature the technology)2. CV project incorporating physics to improve Machine Learning object classification3. Creating a next generation Smart Scope for rifles using Artificial Intelligence (AI) for the US Army4. Creating ballistics resistant Smart Glasses using AI for the US Army5. Computing debris location from hypersonic collisions using AI for the US Armyo Project Manager for UAV/CV project involving Deep Learning and simulated data to create 3D point clouds from monocular vision calculations, computing depth maps and depth map uncertainties.o Contributed and lead numerous other projects in celestial navigation, remote sensing, machine learning, deep learning, cybersecurity, UAV routing, 3D point clouds, synthetic aperture radar (SAR) image matching, geolocalization, visual odometry, spectral chemical identification, radio frequency (RF) fingerprinting, offensive and defensive algorithms for RF transmissions with AI, neuromorphic computing and conversion of neural networks to neuromorphic hardware, and detection of defects in 3D printed material.o Written numerous SBIR proposals for various agencies including NASA, DOE, and DOD.

* Principal Investigator (PI) for autonomous UAV routing and data collection project* Project Manager for UAV/Computer Vision project involving Deep Learning and Point Clouds* Performing cybersecurity analysis for SCADA networks* Photogrammetry and Computer Vision analysis of video* Writing multiple SBIR proposals

* Coordinating multiple drones to achieve multiple different mission objectives* Bayesian analysis for route planning for drones, complete with development of new Bayesian methodologies* Error propagation and AI analysis for structure from motion analysis* Writing R&D proposals (SBIRs, STTRs)* Automated Target Detection and Automated Target Recognition using Machine Learning and Deep Learning* Developed preliminary ontology for NIH Human Biomolecular Atlas Program (HuBMAP)

Computational Oncology. Lawrence J. Ellison Institute for Transformative Medicine of USC.USC Center for Applied Molecular Medicine• Lead Developer for the MultiCellular Data Standard (MultiCellDS). Managed contribution from 10+ interdisciplinary members of collaboration. Developed curated Digital Cell Lines from diverse biological datasets.• Improving and expanding agent-based model code, PhysiCell, for model cancer tumor growth• Helped create reaction-diffusion equation solver, BioFVM, for simulating creation, destruction, and transport of different chemical substances in biological contexts• Created new improvements to tracking algorithms as applied to breast cancer cells• Wrote a tracking algorithm as applied to breast cancer cells

Programming HTCondor at the Center for High Throughput Computing.• Developer for HTCondor, high throughput / distributed computing software• Expert in use of HTCondor for parallel environments• Created new tool to help interface HTCondor with other distributed computing software• Helped university researchers accomplish their computing tasks via a consultant like role

Working with Development relating to fundraising and gift processing. Also working with development of a mobile app and database creation and management.