Zenome DNA Token ZNA
Blockchain, Genetics, BioinformaticsThe Zenome project is a decentralized blockchain-driven database of genomic information.
- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply35,000,000
- Primary SectorDrugs & Healthcare
- JurisdictionNone specified
Ph.D. in molecular biology and biochemistry.
Specialist in molecular biology and personal genomics. Alex has a significant scientific background, expertise in business, and project management. In Zenome Alex responsible for the overall vision and development of the business.
Education: National Research University "Higher School of Economics", department of Political Science (HSE) – 2017, The University of Edinburgh "School of Social and Political Science" – 2016
Degree: Bachelor in Political Data Analysis
Interests – technology and growth, boxing and foreign languages, humanitarian organizations activity (a volunteer of Russian Red Cross).
Education: Moscow State University, department of bioorganic chemistry (MSU)
Degree: Ph.D. in biochemistry
Alexey get natural scientific background and was awarded by the Moscow Government for his research. In 2016 Alexey won the scholarship of the President of the Russian Federation for young scientists. The general interest of Alexey in Zenome is in application of blockchain ecosystem for the biological approaches.
Education: Moscow Institute of Physics and Technology, department of general and applied physics (MIPT)
Specialization: Theoretical physics, theoretical informatics and pure mathematics
Distributed systems architect, smart blockchain developer.
|Aug 2018||Publication of the Zenome network protocol. Preparation of a scientific publication on the development of a method for safe and open storage and transfer of genomic data|
|Sep 2018||Start of the public token sale - stage 2|
|Oct 2018||The launch of the product's alpha version|
|Nov 2018||API publication for connecting a wide range of service providers|
|Dec 2018||The launch of the product's beta version|
Questions and Answers
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low