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LANS Seminar
Seminar Title: Using Claude Code for optimizing day-to-day research activities
Speaker: Krishnan Raghavan, Assistant Computational Mathematician, MCS, Argonne National Laboratory
Date: Thursday, February 5, 2026
Time: 2:30 PM-3:30 PM (In-Person)
Location: Hybrid, Bldg. 240, Conference Room 1404
Description: With the advent of Ai models, popular paradigms like agentic AI and other AI models have become an integral part of our lives. In my exposure with one such model- Claude Opus 4.5, I have discovered the power of using these models judiciously to improve and speed up my day to day research. This talk is about what I have done in Claude-code and how I have Claude-code setup in a way that it helps me accomplish things faster and allows me to outsource mundane things to the AI model.
Bio: Krishnan Raghavan received the B.E. degree in instrumentation and control engineering from the University of Mumbai, Mumbai, India, and the master’s and Ph.D. degrees from the Missouri University of Science and Technology, Rolla, MO, USA, in 2014 and 2019, respectively. He conducted a post-doctoral research at the Mathematics and Computer Science (MCS) Division, Argonne National Laboratory (ANL), Lemont, IL, USA, from 2019 to 2022. He is currently an Assistant Computational Mathematician at the MCS Department, ANL, and has been primarily focused on machine learning and artificial intelligence. He is also affiliated with the laboratory for applied mathematics and numerical software at MCS Division and is a scientist at large with the University of Chicago. His research interests include multi-agent systems, distributed dynamic programming and dynamical systems.
Please note that the meeting URL for this event can be seen on the cels-seminars website which requires an Argonne login.
See all upcoming talks at https://www.anl.gov/mcs/lans-seminars