Name: Lavanya Ramakrishnan
Pronouns: she/her
Biography:
Lavanya Ramakrishnan is Division Deputy in the Scientific Data Division at Lawrence Berkeley National Lab. Her research focuses on developing generalized methods and tools to manage workflows and data while working closely with scientific groups and influencing the design of next-generation high performance computing systems. Her current research explores the methods and infrastructure needed to support automation and self-driving for various scientific applications including earth sciences and microelectronics. Ramakrishnan established and leads a scientific user research program focusing on studying and enumerating the way that scientists and communities use data and workflows to build usable tools for science.
Institution/Lab: Lawrence Berkeley National Laboratory
Website:
SRP Collaboration Topic/Title: Data lifecycle management
Field or research area: Computer science
Please select all the topical areas that apply to your project:
Computer Science (i.e., architectures, compilers/languages, networks, workflow/edge, experiment automation, containers, neuromorphic computing, programming models, operating systems, sustainable software); Data Science (i.e., data analytics, data management & storage systems, visualization); High-Performance Computing; Machine Learning and AI
Brief Abstract:
Automation, self-guiding and self-driving are increasingly using algorithm-driven adaptive measurements for operation of end-to-end workflow. There is a need for a number of AI techniques, workflow and data management techniques to develop the infrastructure.
Desired relevant skills, background, or interests:
Computer science background with working knowledge of one or more of Python, ML/AI, Javascript, databases
Other comments:
Do any special requirements apply? International OK
Other, specify:
Keywords:
workflow management, AI, resource management, autonomous, self-driving, UX/UI.
Lightning Talk Title: The Tale of Scientific Workflows