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  <title><![CDATA[Breakfast Club Seminar Series]]></title>
  <body><![CDATA[<p><strong>&quot;<em>Quantifying the Clusterness and Trajectoriness of Single-cell RNA-seq Data</em>&quot;&nbsp;</strong></p>

<p><strong><a href="https://mlb.bme.gatech.edu/">Peng Qui, Ph.D.</a><br />
Associate Professor&nbsp;<br />
Wallace H. Coulter Department of Biomedical Engineering<br />
Georgia Institute of Technology<br />
Emory University School of Medicine</strong></p>

<p><strong>Bio</strong><br />
Peng Qui, Ph.D., is an associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University School of Medicine. He received his Ph.D. in Electrical and Computer Engineering from the University of Maryland. His research interests are in the areas of bioinformatics and computational biology with a focus on statistical signal processing, machine learning, control systems and optimization.</p>

<p><strong>Research</strong><br />
The Qui lab research is focused on Machine Learning and Bioinformatics. The overarching goal is to develop novel computational methods for advancing biological discoveries. Current research projects include machine learning analysis on single-cell data, multi-omics integration in cancer, experimental design and model reduction in systems biology.</p>

<p><em>The IBB Breakfast Club Seminar Series was started with the spirit of the Institute&#39;s interdisciplinary mission in mind to feature local IBB faculty member&#39;s research in a seminar format. Faculty are often asked to speak at other universities and conferences, but do not often present at their home institution - this seminar series is an attempt to close that gap. IBB Breakfast Club Seminars are open to anyone in the bio-community.</em></p>
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      <value><![CDATA[<p><a href="mailto:christina.wessels@ibb.gatech.edu">Christina Wessels</a>, IBB Events Coordinator</p>
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