Madan Timalsina

Madan Timalsina is a postdoctoral fellow in the NERSC NESAP for Data program within the Data and AI Services group. His work spans containerization, checkpoint-restart (C/R), CPU and GPU code optimization, and the Superfacility API to orchestrate complex workflows on HPC or cloud-based platforms. Additionally, he optimizes AI/ML pipelines. As a NESAP postdoc, Madan collaborates with NERSC staff and domain scientists to enhance the performance of simulation, data analytics, and AI/ML codes on HPC and cloud-based systems. He has contributed to numerous projects at NERSC, ranging from high energy physics to particle and nuclear physics. Madan Timalsina completed his Ph.D. in experimental particle physics at the South Dakota School of Mines and Technology in 2022. His doctoral research centered around calibrating the LZ detector to improve the search for dark matter.

Publications

For publications, please visit Timalsina’s profiles on Google Scholar, GitHub, LinkedIn, and Inspire HEP.