Software Intelligence

Improving productivity and enhancing software quality

CodeGen: A Conversational AI Programming Model

CodeGen is a conversational AI programming system that takes low-code to the next level with an AI system that writes code based on prompts from developers, and lightens the need for writing code itself.

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Meet the team

Huan Wang
Director, Salesforce AI Research

Huan’s research interests include machine learning, big data analytics, and computer vision. Currently, Huan’s team works closely with the product teams to improve the product efficiency at Salesforce. At the same time, he has been actively publishing academic papers as well as participating in open-source software efforts. Huan used to be a senior applied scientist at Microsoft AI Research, a research scientist at Yahoo’s New York Labs, and an adjunct professor at the engineering school of New York University. He graduated as a Ph.D in Computer Science at Yale University in 2013.

Erik Nijkamp
Research Scientist, Salesforce AI Research

Erik Nijkamp is a Research Scientist at Salesforce AI Research. His research emphasis is on large-scale generative models and representation learning with applications in NLP and computer vision. Prior to Salesforce, he was a PhD student under Prof. Song-Chun Zhu and Prof. Ying Nian Wu at UCLA.

Yingbo Zhou
Director, AI Research

As Director in AI Research, Yingbo leads the research in natural language processing, software intelligence, and representation learning. He also leads efforts in integrating state-of-the-art technology into Salesforce products.