Student attendees are invited to participate in a mentoring session on Monday, 18 September, starting with breakfast at 9:30am PDT and the full program running from 10:00 – 11:00am, during which you may ask questions and advice from industry experts from a variety of companies.
This is your opportunity to get expert insights on career next steps, career choices, and working in the industry.
Space is limited for this session, so be sure to register in advance.
This session is sponsored by
Dr. Yuval Baum is Head of Quantum Control Research, at Q-CTRL. Leveraging his expertise in quantum physics, machine learning and control theory, Yuval has led the development of AI-driven methods and tools that were repeatedly tested on real quantum computers leading up to 9000X improvement in algorithmic performance. Prior to joining Q-CTRL, he was a research fellow at the Institute for Quantum Information and Matter at the California Institute of Technology (Caltech) were he studied different aspects of quantum dynamics and applications of machine learning in quantum physics.
Kortny Rolston-Duce is the Director of Marketing Communications at Atom Computing. Her job is to help grow the quantum ecosystem and develop collaborations with industry, academia, government agencies, and other organizations. Before joining Atom, she was Director of Global Communications and Engagement at Quantinuum; and led communications and engagement efforts for national energy initiatives at Idaho National Laboratory and on behalf of the U.S. Department of Energy’s Office of Nuclear Energy.
Fokko de Vries joined Qblox after pursuing a PhD and postdoc in experimental condensed matter physics. As a roadmap leader he is part of Qblox’s strategic team that takes care of the product planning and management. Within this role he is responsible for business development as well as engaging with the scientific community. He specializes in the quantum network area, for example through leading the development of the Qblox quantum control stacks within the European Quantum Internet Alliance.
Kelly Best is Vice President of Operations, External Relations, and Revenue at the Quantum Algorithms Institute. Kelly’s career has spanned from working in communications with Parks Canada to leading policy and programs in economic development with the B.C. Government, to leading research strategy and partnerships at UBC to her current role in strategic leadership at the Quantum Algorithms Institute.
Anurag Saha Roy is the Chief Product Officer at Qruise where he leads the product strategy and development of Qruise’s portfolio of ML-assisted quantum device calibration and characterization modules. An electrical engineer by training, Anurag has extensive experience in the research and development of full stack control software and hardware for various quantum technology platforms, both in the industry and in academia. He is also an experienced deep-tech entrepreneur, having previously founded machine learning and climate tech startups.
Dr. Erik Garcell is Technical Marketing Manager at Classiq. He was previously innovation product manager for IP.com and an innovation research scientist at Kodak Alaris. He has a doctorate in physics from the University of Rochester and a Master of Science in Technical Entrepreneurship & Management from the University of Rochester’s Simon School of Business.
Matt Zanner is a Principal Program Manager on Microsoft’s Azure Quantum engineering team. A common theme throughout his decades long technology career is helping demystify emerging technologies. He’s extremely passionate about the prospect of commercially viable scalable quantum computing and is currently focused on leveraging generative AI models to accelerate exploration and scientific discovery in the field.
Dr. Hayato Ushijima-Mwesigwa is currently a Principal Researcher at Fujitsu Research of America, Inc., where he is a key contributor to Fujitsu Research’s worldwide quantum laboratory. In his role as a research member, Hayato specializes in exploring the practical applications of quantum computing across diverse domains within computer science and mathematics, encompassing fields such as machine learning, optimization, and finance. He earned his Ph.D. in Computer Science and his MS in Mathematical Sciences from Clemson University.