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  <changed>1492118329</changed>
  <title><![CDATA[WST Dinner: Dr. Nashlie Sephus]]></title>
  <body><![CDATA[<p>Open to WST Learning Community residents, WST mentors, and GT students.</p><p>Free dinner served. RSVP to <a href="mailto:wst.lrn.c@gmail.com">wst.lrn.c@gmail.com</a></p><p>Dr. Nashlie Sephus, GT ECE alumna and current successful CTO, Dr. Sephus will answer questions and speak about career strategies.</p><p>While studying at Tech, had several internships and research experiences with companies and research labs, such as the GE Research Center, GE Energy, Delphi, and IBM.While at Georgia Tech, she has volunteered, tutored, and mentored both high school and undergraduate students in research. As a doctoral student researcher in the Center for Signal/Information Processing (CSIP) at Georgia Tech, Nashlie has done projects related to speech signal processing as well as music information retrieval (MIR). Her other areas of research include source separation, speaker identification, onset detection methods, and speaker modeling for automatic audio-video tagging using statistical models.</p>]]></body>
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      <value><![CDATA[Dr. Nashlie Sephus, GT ECE alumna and current successful CTO, Dr. Sephus will answer questions and speak about career strategies.]]></value>
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      <value><![CDATA[Open to WST Lrn C residents, WST mentors, and GT students.&nbsp;Free dinner served.&nbsp;Dr. Nashlie Sephus, GT ECE alumna and current successful CTO, Dr. Sephus will answer questions and speak about career strategies.&nbsp;&nbsp;While studying at Tech, Dr. Sephus had several internships and research experiences with companies and research labs, such as the GE Research Center, GE Energy, Delphi, and IBM.While at Georgia Tech, she has volunteered, tutored, and mentored both high school and undergraduate students in research. As a doctoral student researcher in the Center for Signal/Information Processing (CSIP) at Georgia Tech, Nashlie worked on projects related to speech signal processing as well as music information retrieval (MIR). Her other areas of research include source separation, speaker identification, onset detection methods, and speaker modeling for automatic audio-video tagging using statistical models.]]></value>
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      <value><![CDATA[2015-09-21T19:00:00-04:00]]></value>
      <value2><![CDATA[2015-09-21T20:00:00-04:00]]></value2>
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      <timezone><![CDATA[America/New_York]]></timezone>
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        <value><![CDATA[free_food]]></value>
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        <value><![CDATA[Undergraduate students]]></value>
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        <value><![CDATA[Graduate students]]></value>
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      <value><![CDATA[<p><strong>Carol Colatrella</strong>: <a href="mailto:carol.colatrella@lmc.gatech.edu">carol.colatrella@lmc.gatech.edu</a></p><p><strong>WST Lrn C</strong>: <a href="mailto:wst.lrn.c@gmail.com">wst.lrn.c@gmail.com</a></p>]]></value>
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      <email><![CDATA[]]></email>
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          <item>132371</item>
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          <item><![CDATA[The Center for the Study of Women, Science, and Technology]]></item>
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        <value><![CDATA[Career/Professional development]]></value>
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