<div dir="ltr"><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><br></div></div></div></div></div></div></div></div><div class="gmail_quote"><p><b><img alt="SDSU_CSRC Logo.jpg" width="534px" height="107px" src="cid:dd2f4117-f3c6-410e-986a-0389fc5566b2"><br></b></p><p><b><br></b></p><p><b><font color="#ff0000" size="4">**** Registration is required in order to get the link to join the seminar online. Please register at the below web page.</font></b></p><p><br></p><p><font size="4">DATE: <br><b>Friday, October 7, 2022</b></font></p><p><br></p><div dir="ltr"><p></p><p></p><p><font size="4">TITLE:<br></font><b><font size="4">Enabling Science Through Data Science at Berkeley Lab </font> </b> <b> </b> <b> </b> <b> </b> </p><div><br></div><p><font size="4">TIME: <br><b>3:30-5:00PM </b></font></p><p><font size="4"><b><br></b></font></p><p><font size="4"><b>VIEWING PARTY at GMCS 314</b></font></p><p> <br></p><p><font size="4">LOCATION:<br><b>Registration is required in advance. Please register at the following site to receive information on how to join the seminar online. </b><a href="https://us06web.zoom.us/meeting/register/tZYrfuiprzojHtee1kVsoCZTN7OtZNYpTh29?_x_zm_rtaid=Mv-zadXIS7OHdioZMMsi5Q.1664492875072.e497e8fd95fbeef03387910eb7bb4da7&_x_zm_rhtaid=481" target="_blank">Meeting Registration - Zoom</a></font></p><p><br><font size="4">SPEAKER/BIO: <br><b>Dr. Deb Agarwal, Senior Scientist, Lawrence Berkeley National Laboratory</b></font> <b> </b> <b> </b> </p><p><br></p><p><font size="4">ABSTRACT:<br>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.</font></p></div><div dir="ltr"><p><font size="4">Bio:
Dr. Agarwal is a Senior Scientist and the Data Science and Technology
Department (<a href="http://dst.lbl.gov" target="_blank">http://dst.lbl.gov</a>), 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.
<br><br><a href="https://crd.lbl.gov/divisions/scidata/about-scidata/scidata-staff/office-of-the-director/agarwal/" target="_blank">Presenter Website</a><br><a href="https://crd.lbl.gov/departments/data-science-and-technology/" target="_blank">Department Link</a></font></p></div><div dir="ltr"><font size="4"><br></font></div><div dir="ltr"><font size="4"><br></font></div><font size="4">Host:<br><b>Jose Castillo (CSRC) and the
Sustainable Horizons Institute CRLC Virtual Seminar Series </b> <br></font><div><font size="4"><br><br></font></div><div><p><font size="4"><span style="font-weight:bold">Note:</span><span style="font-weight:bold"> </span>Videos of previous colloquium talks can be seen on the CSRC website in the colloquium archive section or on the <a href="https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed" target="_blank">CSRC YouTube page here</a>.</font></p><p><br></p></div>
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