Emin Gün Sirer
E920343
Emin Gün Sirer is a Turkish-American computer scientist and entrepreneur best known for his pioneering work in cryptocurrencies and blockchain consensus protocols, including co-founding the Avalanche blockchain platform.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Emin Gün Sirer canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Turkish-American person
ⓘ
academic ⓘ computer scientist ⓘ entrepreneur ⓘ |
| academicRank | associate professor ⓘ |
| almaMater |
Princeton University
NERFINISHED
ⓘ
University of Washington NERFINISHED ⓘ |
| citizenship |
Turkey
NERFINISHED
ⓘ
United States of America ⓘ |
| coFounderOf |
Ava Labs
NERFINISHED
ⓘ
Avalanche blockchain platform NERFINISHED ⓘ |
| degree | PhD in computer science ⓘ |
| educatedAt |
Princeton University
ⓘ
University of Washington ⓘ |
| employer | Cornell University ⓘ |
| familyName | Sirer NERFINISHED ⓘ |
| fieldOfWork |
blockchain technology
ⓘ
computer science ⓘ consensus protocols ⓘ cryptocurrencies ⓘ distributed systems ⓘ |
| founded | Ava Labs NERFINISHED ⓘ |
| givenName | Emin NERFINISHED ⓘ |
| hasAcademicDiscipline |
distributed computing
ⓘ
systems research ⓘ |
| hasResearchInterest |
blockchain scalability
ⓘ
consensus algorithms ⓘ network security ⓘ operating systems ⓘ |
| knownFor |
Avalanche blockchain platform
NERFINISHED
ⓘ
Avalanche consensus protocol NERFINISHED ⓘ research on Bitcoin and cryptocurrency security ⓘ research on peer-to-peer systems ⓘ |
| languageSpoken |
English
ⓘ
Turkish ⓘ |
| memberOf | Cornell University Department of Computer Science NERFINISHED ⓘ |
| name | Emin Gün Sirer NERFINISHED ⓘ |
| nationality |
Turkey
NERFINISHED
ⓘ
United States of America ⓘ |
| notableFor |
pioneering work in blockchain consensus protocols
ⓘ
pioneering work in cryptocurrencies ⓘ |
| notableWork |
Avalanche whitepaper
NERFINISHED
ⓘ
research on selfish mining in Bitcoin ⓘ |
| occupation |
computer scientist
ⓘ
entrepreneur ⓘ professor ⓘ |
| workInstitution | Cornell University NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Emin Gün Sirer Description of subject: Emin Gün Sirer is a Turkish-American computer scientist and entrepreneur best known for his pioneering work in cryptocurrencies and blockchain consensus protocols, including co-founding the Avalanche blockchain platform.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.