<div dir="ltr"><div class="gmail_default" style=""><div class="gmail_default" style="font-size:small"><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif" color="#000000"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"> Monday, April 6th at 11:00 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif" color="#000000"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font color="#000000"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b> </font></font></font>TTIC <Virtually> </font><b><font color="#0000ff"><a href="https://zoom.us/j/398391992">https://zoom.us/j/398391992</a> </font></b></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif" color="#000000"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font color="#000000"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b> </font></font></font></font>Yu Li, KAUST</p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif" color="#000000"> </font></p></div><div class="gmail_default" style="font-size:small"><font face="arial, sans-serif" color="#000000"><br></font></div><div class="gmail_default" style=""><div style=""><div style="font-size:small"><font face="arial, sans-serif"><b>Title: <font color="#000000"> </font></b></font><span style="font-family:Calibri,sans-serif;font-size:11pt;text-align:justify"><font color="#000000">Towards Understanding Biomolecular
Structure and Function with Deep Learning</font></span></div><div style="font-size:small"><font face="arial, sans-serif"><br></font></div><div style=""><p style="font-size:small;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><b>Abstract: </b></font><font color="#000000"><span style="font-family:Calibri,sans-serif;font-size:11pt">Biomolecules, existing in high-order structural
forms, are indispensable for the normal functioning of our bodies. To demystify
those critical biological processes, we need to investigate biomolecular
structures and functions. In this talk, we showcase our efforts in that
research direction using deep learning. First, we proposed a deep learning
guarded Bayesian inference framework for reconstructing super-resolved
structure images from the super-resolved fluorescence microscopy data. This
framework enables us to observe the overall biomolecular structures in living
cells with super-resolution in almost real-time. Then, we zoom in on a
particular biomolecule, RNA, predicting its secondary structure. For this one
of the oldest problems in bioinformatics, we proposed an unrolled deep learning
method, which can bring us with 20% performance improvement, regarding the F1
score. Finally, by leveraging the physiochemical features and deep learning, we
proposed the first-of-its-kind framework to investigate the
interaction between RNA and RNA-binding proteins (RBP). This framework can
provide us with both the interaction details and high-throughput binding
prediction results. Extensive </span><i style="font-family:Calibri,sans-serif;font-size:11pt">in
vitro</i><span style="font-family:Calibri,sans-serif;font-size:11pt"> and </span><i style="font-family:Calibri,sans-serif;font-size:11pt">in vivo </i><span style="font-family:Calibri,sans-serif;font-size:11pt">biological
experiments demonstrate the effectiveness of the proposed method.</span></font></p>
<br><b>Bio:</b> Yu Li is a PhD student at KAUST in Saudi Arabia, majoring in Computer Science, under the supervision of Prof. Xin Gao. He is a member of Computational Bioscience Research Center (CBRC) at KAUST. His main research interest is developing novel and new machine learning methods, mainly deep learning methods, for solving the computational problems in biology and understanding the principles behind the bio-world. He obtained MS degree in CS from KAUST at 2016. Before that, he got the Bachelor degree in Biosciences from University of Science and Technology of China (USTC). <p style="font-size:small;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><b><br></b></font></p><p style="font-size:small;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><b><br></b></font></p></div></div><div style=""><div dir="ltr" style=""><div dir="ltr" style=""><div style=""><div dir="ltr" style=""><div style="font-size:small;color:rgb(80,0,80)"><b style="color:rgb(0,0,0);font-family:arial,sans-serif">Host:</b><span style="color:rgb(0,0,0);font-family:arial,sans-serif"> <a href="mailto:j3xu@ttic.edu">Jinbo Xu</a></span><br></div><div style="font-size:small;color:rgb(80,0,80)"> </div><div style="font-size:small;color:rgb(80,0,80)">************************************************************************************************************</div><div style="color:rgb(80,0,80)"><font face="arial, sans-serif" style=""><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Jinbo Xu is inviting you to a scheduled Zoom meeting.</span><span style="letter-spacing:0.2px"><br style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"><br style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"></span><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Topic: Talks at TTIC: Yu Li, KAUST</span><span style="letter-spacing:0.2px"><br style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"></span><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Time: Apr 6, 2020 11:00 AM Central Time (US and Canada)</span><span style="letter-spacing:0.2px"><br 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