<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default"><div class="gmail_default"><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font color="#cc0000" style="vertical-align:inherit"><b style="background-color:rgb(255,255,0)"><u>PLEASE NOTE: UPDATED ZOOM LINK</u></b></font></font></font></p><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><br></b></font></font></font></p><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></font> <span style="color:rgb(0,0,0);font-family:arial,sans-serif">Zoom Virtual Talk (see details below)</span> <font face="arial, sans-serif"> </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;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"><font face="arial, sans-serif" color="#000000"><br></font></div><div class="gmail_default"><div><div><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><font face="arial, sans-serif"><br></font></div><div><p style="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 an MS degree in CS from KAUST in 2016. Before that, he got the Bachelor degree in Biosciences from University of Science and Technology of China (USTC).<p style="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-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><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div style="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" target="_blank">Jinbo Xu</a></span></div></div></div></div></div></div></div></div><div class="gmail_default"><br></div><div class="gmail_default"><b><font size="4">****************************************************************</font></b></div><div class="gmail_default">Jinbo Xu is inviting you to a scheduled Zoom meeting.<br></div><div class="gmail_default"><br>Topic: 4/6 Talks at TTIC: Yu Li, KAUST<br>Time: Apr 6, 2020 11:00 AM Central Time (US and Canada)<br><br>Join Zoom Meeting<br><font color="#0000ff" size="4"><b style="background-color:rgb(255,255,0)"><a href="https://zoom.us/j/521305243" target="_blank">https://zoom.us/j/521305243</a></b></font><br><br>Meeting ID: 521 305 243<br><b style="background-color:rgb(255,255,0)"><font size="4">Password: 343272</font></b><br><br>One tap mobile<br>+13462487799,,521305243# US (Houston)<br>+14086380968,,521305243# US (San Jose)<br><br>Dial by your location<br> +1 346 248 7799 US (Houston)<br> +1 408 638 0968 US (San Jose)<br> +1 646 876 9923 US (New York)<br> +1 669 900 6833 US (San Jose)<br> +1 253 215 8782 US<br> +1 301 715 8592 US<br> +1 312 626 6799 US (Chicago)<br>Meeting ID: 521 305 243<br>Password: 343272<br>Find your local number: <a href="https://zoom.us/u/akrIgOS2N" target="_blank">https://zoom.us/u/akrIgOS2N</a><br></div><div class="gmail_default"><br></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Apr 5, 2020 at 7:33 PM Mary Marre <<a href="mailto:mmarre@ttic.edu">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div style="font-size:small"><div><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font color="#cc0000" style="vertical-align:inherit"><b style="background-color:rgb(255,255,0)"><u>PLEASE NOTE: UPDATED ZOOM LINK</u></b></font></font></font></p><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><br></b></font></font></font></p><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></font> <span style="color:rgb(0,0,0);font-family:arial,sans-serif">Zoom Virtual Talk (see details below)</span> <font face="arial, sans-serif"> </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;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><font face="arial, sans-serif" color="#000000"><br></font></div><div><div><div><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><font face="arial, sans-serif"><br></font></div><div><p style="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 an MS degree in CS from KAUST in 2016. Before that, he got the Bachelor degree in Biosciences from University of Science and Technology of China (USTC).<p style="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-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><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div style="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" target="_blank">Jinbo Xu</a></span></div></div></div></div></div></div></div></div><div><br></div><div><b><font size="4">****************************************************************</font></b></div><div>Jinbo Xu is inviting you to a scheduled Zoom meeting.<br></div><div><br>Topic: 4/6 Talks at TTIC: Yu Li, KAUST<br>Time: Apr 6, 2020 11:00 AM Central Time (US and Canada)<br><br>Join Zoom Meeting<br><font color="#0000ff" size="4"><b style="background-color:rgb(255,255,0)"><a href="https://zoom.us/j/521305243" target="_blank">https://zoom.us/j/521305243</a></b></font><br><br>Meeting ID: 521 305 243<br><b style="background-color:rgb(255,255,0)"><font size="4">Password: 343272</font></b><br><br>One tap mobile<br>+13462487799,,521305243# US (Houston)<br>+14086380968,,521305243# US (San Jose)<br><br>Dial by your location<br> +1 346 248 7799 US (Houston)<br> +1 408 638 0968 US (San Jose)<br> +1 646 876 9923 US (New York)<br> +1 669 900 6833 US (San Jose)<br> +1 253 215 8782 US<br> +1 301 715 8592 US<br> +1 312 626 6799 US (Chicago)<br>Meeting ID: 521 305 243<br>Password: 343272<br>Find your local number: <a href="https://zoom.us/u/akrIgOS2N" target="_blank">https://zoom.us/u/akrIgOS2N</a><br></div><div><br></div><div><br></div></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Fri, Apr 3, 2020 at 10:44 PM Mary Marre <<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-size:small"><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit" color="#cc0000"><b style="background-color:rgb(255,255,0)"><u>PLEASE NOTE: UPDATED ZOOM LINK</u></b></font></font></font></p><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><br></b></font></font></font></p><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></font>
<span style="color:rgb(0,0,0);font-family:arial,sans-serif">Zoom Virtual Talk (see details below)</span> <font face="arial, sans-serif"> </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;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><span>Yu</span> <span>Li</span>, 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><font face="arial, sans-serif" color="#000000"><br></font></div><div><div><div><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><font face="arial, sans-serif"><br></font></div><div><p style="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> <span>Yu</span> <span>Li</span> 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 an MS degree in CS from KAUST in 2016. Before that, he got the Bachelor degree in Biosciences from University of Science and Technology of China (USTC).<p style="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-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><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div style="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" target="_blank">Jinbo Xu</a></span></div></div></div></div></div></div></div></div><div style="font-size:small"><br></div><div><b><font size="4">***********************************************************************************************</font></b></div><div style="font-size:small">Jinbo Xu is inviting you to a scheduled Zoom meeting.<br></div><div><br>Topic: 4/6 Talks at TTIC: Yu Li, KAUST<br>Time: Apr 6, 2020 11:00 AM Central Time (US and Canada)<br><br>Join Zoom Meeting<br><font color="#0000ff" size="4"><b style="background-color:rgb(255,255,0)"><a href="https://zoom.us/j/521305243" target="_blank">https://zoom.us/j/521305243</a></b></font><br><br>Meeting ID: 521 305 243<br><b style="background-color:rgb(255,255,0)"><font size="4">Password: 343272</font></b><br><br>One tap mobile<br>+13462487799,,521305243# US (Houston)<br>+14086380968,,521305243# US (San Jose)<br><br>Dial by your location<br> +1 346 248 7799 US (Houston)<br> +1 408 638 0968 US (San Jose)<br> +1 646 876 9923 US (New York)<br> +1 669 900 6833 US (San Jose)<br> +1 253 215 8782 US<br> +1 301 715 8592 US<br> +1 312 626 6799 US (Chicago)<br>Meeting ID: 521 305 243<br>Password: 343272<br>Find your local number: <a href="https://zoom.us/u/akrIgOS2N" target="_blank">https://zoom.us/u/akrIgOS2N</a><br></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
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