LocationUnited States , North Carolina, Triangle Websitehttp://stiefel.com Company Sizecensoredcens Employees10781 profiles available Last Updated2020-02-15
AI/ML Specialists develop artificial intelligence (AI) systems using machine learning algorithms and techniques. Other titles include Machine Learning Engineer and Data Scientist. Make use of AI by connecting with skilled AI/ML Specialists today!
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Yan Kou's current details
Current Title Building platforms to empower AI-driven drug discovery
Type of Role AI/ML Specialist
Job functions Information Technology
Job Seniority Non Management
74% from United States are employed in Non Management
Current Industry Pharmaceuticals and Medicine censoredcensoredcensoredcensoredcensoredcensoredcensoredc
Location United States
Experience (tracked since 2018) ▪ censore experience at Gsk ▪ censore experience as Building platforms to empower AI-driven drug discovery
Work-life tracked since 2018 Yan Kou had a total of X different roles since 2018
2024
(6 months) Gsk United States Building platforms to empower AI-driven drug discovery Pharmaceuticals and Medicine Manufacturing Gsk https://linkedin.com/company/stiefel-laboratories
What company does Yan Kou work for? Yan Kou is working for Gsk
What is Yan Kou's title at Gsk? Yan's title is , Building platforms to empower AI-driven drug discovery
What is Yan Kou's Seniority at Gsk? Yan Kou has been with Gsk for 6 months and is a normal employee
For how long is Yan Kou working as a Building platforms to empower AI-driven drug discovery? Yan Kou has 6 months experience as Building platforms to empower AI-driven drug discovery.
What are Yan Kou's functions as a Building platforms to empower AI-driven drug discovery ? Yan Kou is responsible for Information Technocensoredcensoredc
What is Yan Kou's company phone number? Yan Kou's company phone number is +1 518-239-****
Which education does Yan Kou have? Yan Kou has a Phd degree from Icensoredcensoredcensoredcensored.
Who are similar contacts like Yan Kou ? Some similar contacts are Yulia Shilnova, Ken Seehart, Ram Gandhi, William Tente, Sean Seerey and Sanjay Joshi.
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