WaveAI uses advanced, proprietary AI and Machine Learning technology to address some of the most challenging problems facing our world. With a proven record solving some of the largest AI challenges at the intersection of technology, creativity, and mental health, we are committed to applying our expertise for the betterment of humanity. In response to the COVID-19 crisis, WaveAI is creating a scalable solution to a pressing international crisis. Currently in stealth mode. To contact us regarding investment opportunities or our creative AI technology, reach out to us at contact@wave-ai.net.


Maya Ackerman, PhD

Dr. Ackerman is a leading researcher in Artificial Intelligence and Machine learning, with dozens of peer-reviewed publications.  Named “Woman of Influence” by the Silicon Valley Business journal, Ackerman was an invited speaker at the United Nations, Google, IBM Research, Stanford University, amongst other prestigious venues. Dr. Ackerman appeared on NBC News, New Scientist, and Grammy.com, and on international Television stations.  Her research into AI and Machine Learning has earned awards from the Association for Computational Creativity, US Office of Naval Research, NSERC, and many more.

She earned her PhD from the University of Waterloo, held postdoctoral fellowships at Caltech and UC San Diego and is  on the faculty of the Computer Engineering Department at Santa Clara University and an Associate Editor of the Journal of Computational Creativity.

David Loker, MMath

David Loker, M.Math., is an award-winning researcher in machine learning with more than 12 years of industry experience. From supply chain optimization at Amazon, to personalization and recommendation systems at Netflix, David has an in-depth, practical understanding of statistical modeling and machine learning techniques. His extensive industry experience includes the formation and management of a team of over a dozen engineers and data scientists.

Chris Cassion, MSci
Engineering VP

Christopher Cassion, MSc, graduated at the top of his class with a Master of Science in Computer Science at Georgia Tech. Chris’ research experience ranges from Computational Creativity to AI agent-based simulation. His work experience includes the Health Insurance company, Humana, along with some of the world’s top Machine Learning companies and laboratories, from Google to IBM’s Austin Research lab. 



Two comperehensive patents with 37 claims

1st Place

Shanghai Yangpu Global Competition SV


The Startup Conference