We implemented a cloud-based geospatial big data pipeline for a Fortune 500 biotech/agricultural company.
We developed deep learning algorithms for anomaly detection, trained on remotely-sensed imagery from aerial and drone sources.
We developed a fly-through visualization of genome and proteome data, providing a unique way of visualizing the underlying connections between segments of the data.
We developed a deep reinforcement learning system for finding similarly-structured molecules to a particular molecule. We then adapted this system to find molecules with high binding affinities to a particular molecule.
We developed plans for a system that would determine concentrations of particulate matter using input from an ultra-small NIR sensor. The system would use deep learning to compare sensor output with labeled data from an accurate sensor.
We developed plans for a system that would enable users to intelligently navigate a 3D environment to carry out mission objectives using AI-driven VR software. We also built out such a system and used it to navigate a virtual 3D environment.