Alex Wang

Alex Wang is a PhD student in computer science at New York University, specializing in machine learning for natural language processing and computer vision.1 Here are some key details about Alex:

Academic Background

• Currently pursuing a PhD in computer science at New York University1
• Obtained a bachelor's degree in applied mathematics from Harvard University
• Completed a master's degree in computer science from Harvard University

Research Focus

Alex's research primarily centers on:

• Machine learning applications for natural language processing12
• Computer vision12

He is part of the Machine Learning for Language group at NYU and is jointly advised by Professors Sam Bowman and Kyunghyun Cho.2

Notable Work

Alex has made significant contributions to the field, including:

• Co-authoring GLUE, a multi-task benchmark for natural language understanding, which has been highly cited1
• Contributing to SuperGLUE, an extension of the GLUE benchmark1
• Publishing papers on topics like evaluating factual consistency in summaries and probing sentence structure in contextualized word representations1

Professional Experience

Beyond his academic pursuits, Alex has:

• Engaged in research and teaching roles at institutions like Harvard University, Stanford University, and Microsoft
• Participated in various internships and research projects related to computer science

Alex Wang's work demonstrates a strong commitment to advancing the fields of natural language processing and machine learning through innovative research and benchmark development.