Yingkai Gao

Yingkai Gao, also known as Kyle Yingkai Gao, was a graduate student and Research Assistant at Carnegie Mellon University's Language Technologies Institute (LTI).2 Here are some key details about his background and career:

Education and Research

Yingkai Gao completed his Master's degree in Language Technologies at Carnegie Mellon University from August 2014 to August 2016.4 During his time at CMU, he was advised by Professor Jamie Callan.12

Career Path

After graduating from Carnegie Mellon University, Yingkai Gao's career progressed as follows:

• He joined Benevolent.AI as a Machine Learning Engineer.1
• Later, he moved to IBM Research.3

Research Interests

As a Research Assistant at Carnegie Mellon University, Yingkai Gao likely focused on areas related to language technologies and machine learning, given his program of study and subsequent career choices.23

Publications

Yingkai Gao has contributed to research in the field of artificial intelligence and machine learning. One of his notable works is in the area of drug target prediction using deep neural representations.3

While I don't have specific information about Yingkai Gao's LinkedIn profile, the username you provided (yingkai-gao-b81a4254) is likely associated with his professional profile on the platform, given his academic and professional background in technology and machine learning.