Shalini Ghosh

Shalini Ghosh is a Principal Research Scientist at Amazon Science, specifically within the Alexa team, where she has been working since October 2020. Her role focuses on multimodal artificial intelligence (AI), which involves integrating various forms of data such as speech, language, images, and video to enhance the capabilities of Alexa.23

Education and Career Background

Ghosh earned her PhD in Computer Science/Engineering from The University of Texas at Austin in 2005, where she specialized in computer-aided testing. Prior to her current position at Amazon, she held several significant roles, including:

• Principal Scientist (Director) at Samsung Research America, leading machine learning research in the Smart TV division.
• Director of AI Research at the AI Center of Samsung Research America.
• Principal Computer Scientist at SRI International, where she worked for over a decade.234

Research Interests

Her research interests encompass a wide range of topics within AI, including:

• Multimodal learning, which integrates various data types for improved understanding and processing.
• Natural language processing applications, such as language models and machine reading.
• Dependable computing, focusing on cybersecurity and fault tolerance.
• Information theory applications, particularly in error correction.34

Ghosh has also contributed significantly to the academic community, with numerous publications in machine learning and AI, and has been recognized for her work in multimodal AI.12