Lingyun Gu
Lingyun Gu | |
|---|---|
 | |
| Born | |
| Education | PhD |
| Alma mater | Carnegie Mellon University University of Electronic Science and Technology of China |
| Occupation | Founder & CEO of IceKredit |
| Known for | AI, Machine Learning, Big Data |
| Awards | Afflicted Professor at Southeast University Afflicted Professor at University of California Irvine Visiting Professor at University of Electronic Science and Technology of China (UESTC) One of the “Innovative Talents” granted by Ministry of Science and Technology in 2018 One of the “10 Returnees Elites of Shanghai Lujiazui Financial District” in 2017 One of the “10 Outstanding Young Professionals of Shanghai Lujiazui Financial District” in 2016 Shanghai Overseas Talent One of the “50 Outstanding Credit Assessment Chinese Professionals” Best Debater in the first National Collegiate Debate Competition in 1998 |
Lingyun Gu (born in 1976) is one of the experts in AI technologies.
2009-2011, he worked as quantitative strategist in Translucent Capital.
2011-2013, he worked for Zest Finance as founder and head of modeling team, responsible for the development of models, and focused on algorithm and technology in big data field.[1]
2013-2014, he worked for Turbo Financial Group as Los Angeles Co-founder, Board of Directors and CRO.[2]
2013-2015, he used to be IDG-Accel Partners in Los Angeles as EIR and investment adviser.[3]
From 2015.6 to now, Lingyun Gu is now the founder,Chairman of the Board of Directors and CEO of IceKredit, dedicated to innovatively applying artificial intelligence technologies to make all-rounded credit assessments of individuals and SMEs.[4]
References
- ^ "Big data credit evaluation sails: 50 organizations intended to invest Icekredit in B round". shanghai Securities News.
- ^ "Lingyun Gu:real credit evaluation data needs to integrate five aspects". Hexun News.
- ^ "Lingyun Gu from IDG-Accel：It's better to start a business earlier and focus on vital things". Chuangyebang.
- ^ "China Wants To Rate People's Credit With Online Data, But Misuse By Companies Is Rampant". Forbes.