Chris attended the University of Colorado at Boulder earning a BS in computer science. Since then, his technical excellence has driven the development of many industry-leading products. Startups love him: with Anark, he brought advanced computer graphics and designer-developer interactions to the web. At SRC he deployed new lossless compression algorithms for GIS systems. At NVIDIA, he led an international team to develop the powerful and popular PhysX debugger. And, in recent years he has focused on applying neural networks and other data-intensive techniques to stubborn business problems, leaving a trail of happy customers in his wake. He has the distinction of both releasing software on CD-ROM, and managing cloud-native machine learning systems with high throughput and availability. Outside of work Chris enjoys his family, rock climbing, and pushing computers to perform beyond their limits.

Charles went to the University of Colorado, graduating Magna cum Laude with a BS/MS in Computer Science and a minor in Applied Math. His focus was on embedded systems and wireless sensor networks, publishing several papers in the area. During and after he did contract work for a variety of clients including an atom chip modeling tool for the center for ultra cold atoms at the University of Colorado. Later he went on to obtain a PhD at Massachusetts Institute of Technology with a focus on distributed systems creating an operating system that used message passing and had no reliance on shared memory thus making it suitable for both chips with 1000s of cores as well as distribution across the cloud. Later he worked at a startup called Nylas, building the back-end for a RESTful email service. The 3 years prior to TechAscent he was a co-founder of ThinkTopic, a Machine Learning contracting company. There he worked on projects in the fields of e-commerce, object detection in satellite imagery, and bioinformatics. In his free time he enjoys rock climbing, skiing, and volunteering as a first responder for mountain rescue.

Harold attended the University of Colorado at Boulder, graduating with a BA in Pure Mathematics; receiving the chancellor's recognition award for earning the highest grade (A) in every course. Focusing on combinatorics, algebras, and the use of computers to generate evidence, he participated in original math research proving theorems in abstract algebraic representation theory. An autodidact programmer working as a professional software developer since 2004, Harold has developed hundreds of computer programs in a variety of different programming languages that solve business problems in diverse industries. Examples include tools used to make video games, software used in middle school computer science education, full-stack web development on e-commerce systems, and fintech models on the cutting edge of AI and machine learning. Always bringing a sophisticated mathematical and algorithmic perspective, Harold lives to produce high-quality software that learns from data to solve real business problems. In his free time he enjoys games of all sorts, listening to and playing music, and reading science fiction stories.