Dr. Nathan Earnest-Noble is a quantum algorithm engineer and team lead at IBM Quantum, where he and his team work to ensure users get the most from the IBM quantum platform, and develops tools & methods to advance near-term quantum algorithms. During his Ph.D. in Physics at the University of Chicago, Earnest-Noble specialized in quantum hardware design, culminating in the creation of a “heavy” fluxonium qubit which had strong protection from environment noise and development of novel superconducting gates schemes borrowed from atomic systems. In his personal time, Earnest-Noble is deeply committed to science communication, education, and outreach and enjoys playing chess, theatre, and macro photography.

Courtney oversees machine learning and analytics projects for finance, accounting, treasury, and contact center operations as an Analytics Manager at the fintech company Enova International. At this stage in her career, she is most interested in working with experts in other departments to find high-impact use cases for analytics and in growing her team’s careers. Courtney is a 2016 PhD graduate in Evolutionary Biology from UChicago. She stared in data science after spending two years in pharmaceutical market research and then attending a data science bootcamp.