Yingsai Dong Email & Phone Number
Who is Yingsai Dong? Overview
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Yingsai Dong is listed as 合伙人、战略与投融资负责人 at 兔展智能, a company with 10 employees, based in Shenzhen, Guangdong, China. AeroLeads shows a matched LinkedIn profile for Yingsai Dong.
Yingsai Dong previously worked as Partner, Head of Strategy, Investment and Fundraising at Rabbitpre Ai 兔展智能 and Senior Manager at Klook. Yingsai Dong holds Master Of Science (M.Sc.), Computer Science (Algorithmic Game Theory & Machine Learning) from The University Of British Columbia.
Email format at 兔展智能
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About Yingsai Dong
- With a decade of hands-on experience building innovative technologies supporting multi-modal content generation.- A business executive with a strong technical foundation backed by a hybrid network spanning the US and China.- Dedicated to fostering connections among entrepreneurs, investors, executives, engineers, academics, and industry experts within the technology ecosystem.
Yingsai Dong's current company
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Yingsai Dong work experience
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Partner, Head Of Strategy, Investment And Fundraising
CurrentCovering GenAI strategies, investment, corporate fundraising, and investor relationships
Tech Lead | Senior Software Engineer
Built Mobike Advertising PlatformBuilt Mobike Operation Efficiency Platform
Full Stack Engineer
Ads - Brand Solution- Reach and Frequency- Campaign Planner- some other ad products- bootcamp mentor
Software Engineer
As a data engineer intern, worked on developing MapReduce pipelines between BigTables in Google Ads DoubleClick Team.
Research Assistant At Intelligence Computing And Machine Learning Lab
Explored the problem of learning collective behaviors by decomposing games and mechanism design in multi-agent systems.Presented the minority game data mining (MGDM) model and evolutionary mixed-games learning (EMGL) model in which we assume the aggregated information of market is generated by the combination of agent groups employing different.
Research Intern, Algorithms Machine People Lab, Eecs
Proposed the loss probability function by Markov Chain for finite M/M/1 queue in fractional replicated settings.Employed the idea of fractional replication of packets to adjust the loss probabilities of different users.Proposed a Network Flow Replication Game with a cost function of combination of loss probability and price.Computed the equilibrium and.
Colleagues at 兔展智能
Other employees you can reach at rabbitpre.com. View company contacts for 10 employees →
Meng (Damon) Dai
Colleague at 兔展智能Shenzhen, Guangdong, China, China
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周
周学文
Colleague at 兔展智能Shenzhen, Guangdong, China, China
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RL
Runyi Li
Colleague at 兔展智能Shenzhen, Guangdong, China, China
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ZL
Zongmin L.
Colleague at 兔展智能Guangzhou, Guangdong, China, China
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吕
吕利峰
Colleague at 兔展智能Shenzhen, Guangdong, China, China
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YG
Yourtion Guo
Colleague at 兔展智能Guangzhou, Guangdong, China, China
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HZ
Haotong Zhang
Colleague at 兔展智能Guangdong, China, China
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Yingsai Dong education
Master Of Science (M.Sc.), Computer Science (Algorithmic Game Theory & Machine Learning)
Bachelor Of Science (B.S.), Department Of Mathematics - Information And Computing Science
Summer Session, Computer And Information Sciences, General
Frequently asked questions about Yingsai Dong
Quick answers generated from the profile data available on this page.
What company does Yingsai Dong work for?
Yingsai Dong works for 兔展智能.
What is Yingsai Dong's role at 兔展智能?
Yingsai Dong is listed as 合伙人、战略与投融资负责人 at 兔展智能.
Where is Yingsai Dong based?
Yingsai Dong is based in Shenzhen, Guangdong, China while working with 兔展智能.
What companies has Yingsai Dong worked for?
Yingsai Dong has worked for 兔展智能, Rabbitpre Ai 兔展智能, Klook, Mobike 摩拜单车, and Facebook.
Who are Yingsai Dong's colleagues at 兔展智能?
Yingsai Dong's colleagues at 兔展智能 include Meng (Damon) Dai, 周学文, Runyi Li, Zongmin L., and 吕利峰.
How can I contact Yingsai Dong?
You can use AeroLeads to view verified contact signals for Yingsai Dong at 兔展智能, including work email, phone, and LinkedIn data when available.
What schools did Yingsai Dong attend?
Yingsai Dong holds Master Of Science (M.Sc.), Computer Science (Algorithmic Game Theory & Machine Learning) from The University Of British Columbia.
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