Virtual Mathematics Colloquium | ENABLING SCIENCE THROUGH DATA SCIENT AT BERKELEY LAB
Speaker: Dr. Deb Agarwal (Senior Scientist, Data Science and Technology)
Understanding environmental systems, providing clean water, predicting water availability, and understanding material properties are just a few of the areas where data science is enabling science breakthroughs. This talk will describe some of these science challenges and the role for data science in helping to address these challenges. In a national laboratory environment, the focus is on team science and tackling challenges that require an integrated team of people from many disciplines. In this talk I will describe some of the challenges we as data scientists are helping to solve and some of the next data science and machine learning challenges that need to be tackled.
Who should attend? Undergraduate students, Masters students, Ph.D. students
Dr. Agarwal is a Senior Scientist and the Data Science and Technology Department (http://dst.lbl.gov), Head at Lawrence Berkeley National Laboratory (LBNL). Dr. Agarwal’s current research focuses on developing computational tools to enable scientists to more effectively organize and use their data to address challenges. Two of her current major projects include a data repository for Earth Science data and a water treatment innovation project called NAWI. She has worked on projects involving watershed understanding, tropical forests, soil carbon, carbon capture, cosmology, particle accelerators, and satellite data. Dr. Agarwal earned her BS in Mechanical Engineering from Purdue University. Her MS and PhD are from University of California, Santa Barbara in Computer Engineering.
Presenter’s Website: https://crd.lbl.gov/about/staff/data-science-and-technology/deborah-aagarwal/
Register in advance for this meeting:
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