Economics, Harvard University. Former CEO of AI startup Palatine Analytics. Bridgewater Associates. Recognized by media outlets such as the New York Post and Yahoo Finance.
Applied Mathematics in Computer Science, Harvard University. Software Engineer work experience at Google, APT, and Dataminr.
PhD in Applied Physics, MS in Computational Science and Engineering both from Harvard John A. Paulson School of Engineering and Applied Sciences. Published multiple scientific papers and raised over $1 million in research grants.
Mathematics and Computer Science, American University of Bulgaria. Developed and co-founded AI startup Palatine Analytics.
Human Evolutionary Biology, Harvard University.
Former Dean of Engineering at MIT. Institute Professor. Founding Director of the Singapore-MIT Alliance for Research and Technology (SMART).
Lead Independent Director of Chipotle. Former President of Ivax Corporation (acq. by Teva for $10B). Executive Committee member of Syntex Corporation (sold to Roche Holdings for $5.3 B).
Former CEO of LiveRamp (acq. by Acxiom for $310 mil). CEO of Datavant. Forbes 30 Under 30.
Associate Professor Computer Science at MIT CSAIL. 2017 VMware Systems Research Award Recipient. Widely recognized for early work on hybrid human-machine data management.
Associate Professor of Computer Science at Harvard University. PhD in Computer Science from Princeton. Experience at Google, AT&T, Microsoft, Facebook, and Bell Labs.
Assistant Professor in Computer Science at Harvard University. Leads the Data Systems Laboratory at Harvard School of Engineering and Applied Sciences.
Principal at The Arnold Group. Launched a $1B business for Microsoft. Harvard MBA.
Professor of Business Administration in the Marketing unit at Harvard Business School. Development engineer at IBM Research.
Assistant Professor of Business Administration in the Strategy Unit of the Harvard Business School. Founder of Identified Technologies. PhD in Economics from Wharton.
By linking AI services with each other and increasing the supply of AI services, GenesisAI provides a web platform that offers low-cost AI services. This makes AI technology more efficient and affordable for businesses.
We are developing a native token based on Ethereum rather than using USD or another fiat currency because of three major reasons:
Means of the transaction is the most important part of the marketplace. Our ideology of creating a decentralized marketplace requires the means of transaction to not be tied to or controlled by any government in the world.
Nobody should be excluded from participating in building the AI-to-AI economy just because they might not have easy access to the USD.
Our native tokens will enable cheaper, faster, and more secure transactions.
First, we need to reward beneficial AI players with our native token. Native tokens are an affordable yet efficient way to reward helpful network players.
Second, we need a token that is optimized for the AI-to-AI economy. There will be thousands of transactions happening during any given time. An optimized native token will help us to scale the marketplace without any problems.
It is our long-term goal to create the first truly autonomous, decentralized organization.
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