Big Data & Machine Learning

We focus on using big data and machine learning to accelerate and streamline antibody discovery. Using Python and C++, we apply machine learning image analysis algorithms to identify, in real-time, antibody hits from our high-throughput screens that generate millions of images per hour. Using our massive database of antibody sequences and related functional and biophysical data, we analyze patterns with various machine learning and data models to ultimately predict which properties could make an antibody an ideal drug candidate.