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<div style="" class="ContentPasted0"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 14pt;">Onions, Grapes, and Tiny Quakes: New Dimensions in Deep Learning Seismology</span><br>
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<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"><b>Speaker:
</b>Tim Clements</span></font></div>
<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"> Earthquake Science Center</span></font></div>
<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"> USGS</span></font></div>
<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"><b>Location:
</b>Hybrid (online and in-person at 1711 Illinois St, Golden, CO, Rm 204)</span></font></div>
<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"> *Non-USGS visitors welcome! Please bring a photo ID and arrive early to allow time to go through building security*</span></font></div>
<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"><b>Date/Time:
</b>Tuesday, May 2, 2023 10-11AM MDT</span></font></div>
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<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"><b>Abstract:</b> <span style="font-size: 12pt; background: rgb(255, 255, 255);" class="ContentPasted1">I will present recent and ongoing work exploring
representations of the seismic wavefield – building from classical labels, such as “P-wave”, “S-wave”, or “noise”, to vector space representations of the wavefield at a single station and across an entire seismic network to encoding the seismic wavefield as
a stream of integers. The key insight to my approach is learning higher-dimensional representations of seismic waves by predicting future shaking or waveforms from current waveforms. I train a suite of deep learning models, ranging from tiny models with a
few thousand parameters to generative pre-trained transformer models with billions of parameters, for tasks such as earthquake detection, earthquake early warning (EEW), and earthquake waveform synthesis.
</span></span></font></div>
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<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt;"><span style="font-size: 12pt; background: rgb(255, 255, 255);" class="ContentPasted1"><img style="max-width: 100%; width: 718.751px; height: 359px;" class="ContentPasted2 w-957 h-478" id="imageSelected0" width="718" height="359" size="285868" contenttype="image/png" src="cid:32dd1256-b711-4c67-bd30-c4c28e2f3306"><br>
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<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 16px;"><b>Bio: </b><span style="font-size: 12pt; background: rgb(255, 255, 255);" class="ContentPasted3">Tim Clements is a Mendenhall Fellow at the USGS Earthquake
Science Center in Moffett Field, CA. He focuses on applying natural language processing, deep geometric learning, and tiny machine learning to a variety of earthquake-related problems. He received a PhD in Earth and Planetary Science from Harvard University
in 2021 and a BS in Engineering from Cornell University in 2015. He has deployed seismometers in Ethiopia, Chile, Argentina, Massachusetts, Oklahoma, California, and Washington state. At ESC he is prototyping low-cost MEMS accelerometers for EEW, designing
new algorithms for EEW, and extracting a seismic grammar from large earthquake datasets.
</span></span></font></div>
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<div style=""><font face="Calibri, sans-serif" style="color: rgb(32, 31, 30);"><span style="font-size: 12pt; color: rgb(102, 102, 102);">For questions, comments, or speaker suggestions, please contact the </span></font><b style="font-family: inherit; font-size: 12pt; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit;"><span style="font-weight:400"><span style="font-size: 12pt; font-family: Calibri, sans-serif; color: rgb(102, 102, 102);">GHSC
Seminar Committee: Andrea Llenos <allenos@usgs.gov>, Benjamin Murphy <bmurphy@usgs.gov>, Lauren Schaefer <lschaefer@usgs.gov></span></span></b></div>
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