From Knowledge to Discovery: Harnessing Large Language Models as Co-pilots for Scientific Research

Astitva Chopra, an AI for Science program manager at Google, leads participants in this webinar that explores how Large Language Models (LLMs) are transforming the scientific research landscape by acting as advanced collaborators.

Chopra will cover how LLMs enhance knowledge discovery, automate complex tasks, and streamline research workflows. Attendees will learn practical applications of LLMs, such as processing vast amounts of scientific literature, integrating with computational tools, and improving logical reasoning and project planning.

This webinar offers strategic insights into how AI, particularly LLMs, revolutionizes scientific discovery and drives innovation across research disciplines.

Target Audience

• Researchers and scientists across academia and industry who are interested in leveraging AI technologies to accelerate discovery
• Data scientists and research computing professionals looking to integrate LLMs into their workflows
• Higher education professionals involved in research, instructional design, or technology development
• AI and machine learning practitioners who want to explore the application of LLMs in scientific contexts

Webinar Objectives

• Provide a high-level understanding of LLMs in research: Introduce participants to the role and potential of LLMs in transforming scientific research by automating complex tasks and improving knowledge discovery.
• Explore practical applications of LLMs: Demonstrate how LLMs can be used as advanced research assistants to process, summarize, and synthesize vast amounts of scientific literature, helping researchers uncover new insights and improve research direction.
• Showcase LLM integration with tools and workflows: Explain how LLMs can facilitate automation, streamline analytical tasks, and integrate with computational tools to optimize research workflows and reduce time spent on manual processes.
• Highlight LLMs’ impact on reasoning and planning: Illustrate how LLMs can enhance logical reasoning, assist in hypothesis generation, and support the planning of complex research projects throughout the research lifecycle.
• Discuss the future of AI in scientific research: Provide strategic insights into the future of AI, particularly the expanding role of LLMs in reshaping research methodologies, accelerating discovery, and enhancing scientific productivity.

Meet the Speaker

Astitva Chopra, a visionary leader at the intersection of AI and science, currently serves as Program Manager for AI for Science at Google, where he spearheads efforts to bridge the gap between technology and research communities. With a background in research computing at the University of California, Chopra has been instrumental in integrating cutting-edge tools into scientific workflows. His 15 years of experience have made him a trusted advocate for LLM technology, driving its application in scientific discovery to empower researchers around the globe.