<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default"><div class="gmail_default"><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Wednesday</font><span class="gmail_default" style="color:rgb(0,0,0)">, February 8th</span><font style="color:rgb(0,0,0)"> at </font><b style="color:rgb(0,0,0)"><u>11:30</u></b><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></font></font><br></font></div><div class="gmail_default"><p style="color:rgb(80,0,80);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><span style="background-color:rgb(255,255,0)"><br></span></b></font></font></font></p><div class="gmail_default"><font face="arial, sans-serif"><b><font color="#500050">Where: </font></b><font color="#000000">Talk will be given </font><font color="#000000" style="font-weight:bold"><u>live, in-person</u></font><font style="color:rgb(80,0,80);font-weight:bold"> </font><font style="color:rgb(80,0,80)">at</font></font></div><p class="MsoNormal" style="margin:0in;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="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></font></p><p class="MsoNormal" style="margin:0in;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"> 5th Floor, Room 530<b> </b></font></p><p class="MsoNormal" style="margin:0in;color:rgb(80,0,80);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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Virtually:</b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"> <i>via</i> Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5bf55682-3277-427c-b608-af9c017082e4" target="_blank">livestream</a></b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">)</span><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><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"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(80,0,80)"><b>Who: </b> </font><font color="#500050" style="color:rgb(80,0,80)"> </font><font color="#000000"><font color="#500050"> </font></font></font></font><span class="gmail-il">Lydia</span> T. Liu, Cornell University</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><br></font></p><div class="MsoNormal" align="center" style="margin:0in 0in 8pt;font-size:11pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><p style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"><font face="arial, sans-serif"><b style="letter-spacing:normal;color:rgb(34,34,34)">Title: </b><span style="letter-spacing:normal;color:rgb(34,34,34)">Towards Responsible Machine Learning in Societal Systems</span><br></font></p></div></div></div><div class="gmail_default"><p style="margin:0px;font-stretch:normal;line-height:normal;min-height:15px"><font face="arial, sans-serif"><b>Abstract:</b> Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings present new statistical, algorithmic, and ethical challenges. In this talk, we examine the distributive impact of machine learning algorithms in societal contexts, and investigate the algorithmic and sociotechnical interventions that bring machine learning systems into alignment with societal values---equity and long-term welfare. First, we study the dynamic interactions between machine learning algorithms and populations, for the purpose of mitigating disparate impact in applications such as algorithmic lending and hiring. Next, we consider data-driven decision systems in competitive environments such as markets, and devise learning algorithms to ensure efficiency and allocative fairness. We end by outlining future directions for responsible machine learning in societal systems that bridge the gap between the optimization of predictive models and the evaluation of downstream decisions and impact.<br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><b>Bio: </b><span class="gmail-il">Lydia</span> T. Liu is a postdoctoral researcher in Computer Science at Cornell University, working with Jon Kleinberg, Karen Levy, and Solon Barocas. Her research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and human welfare. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley, advised by Moritz Hardt and Michael Jordan, and has received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and a Best Paper Award at the International Conference on Machine Learning.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><b><font face="arial, sans-serif">Host: <a href="mailto:avrim@ttic.edu" target="_blank">Avrim Blum</a></font></b></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p></div></div><div><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue, Rm 517</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Feb 7, 2023 at 3:28 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><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Wednesday</font><span class="gmail_default" style="color:rgb(0,0,0)">, February 8th</span><font style="color:rgb(0,0,0)"> at </font><b style="color:rgb(0,0,0)"><u>11:30</u></b><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></font></font><br></font></div><div><p style="color:rgb(80,0,80);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><span style="background-color:rgb(255,255,0)"><br></span></b></font></font></font></p><div><font face="arial, sans-serif"><b><font color="#500050">Where: </font></b><font color="#000000">Talk will be given </font><font color="#000000" style="font-weight:bold"><u>live, in-person</u></font><font style="color:rgb(80,0,80);font-weight:bold"> </font><font style="color:rgb(80,0,80)">at</font></font></div><p class="MsoNormal" style="margin:0in;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="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></font></p><p class="MsoNormal" style="margin:0in;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"> 5th Floor, Room 530<b> </b></font></p><p class="MsoNormal" style="margin:0in;color:rgb(80,0,80);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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Virtually:</b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"> <i>via</i> Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5bf55682-3277-427c-b608-af9c017082e4" target="_blank">livestream</a></b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">)</span><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><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"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(80,0,80)"><b>Who: </b> </font><font color="#500050" style="color:rgb(80,0,80)"> </font><font color="#000000"><font color="#500050"> </font></font></font></font><span>Lydia</span> T. <span>Liu</span>, Cornell University</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><br></font></p><div class="MsoNormal" align="center" style="margin:0in 0in 8pt;font-size:11pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><p style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"><font face="arial, sans-serif"><b style="letter-spacing:normal;color:rgb(34,34,34)">Title: </b><span style="letter-spacing:normal;color:rgb(34,34,34)">Towards Responsible Machine Learning in Societal Systems</span><br></font></p></div></div></div><div><p style="margin:0px;font-stretch:normal;line-height:normal;min-height:15px"><font face="arial, sans-serif"><b>Abstract:</b> Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings present new statistical, algorithmic, and ethical challenges. In this talk, we examine the distributive impact of machine learning algorithms in societal contexts, and investigate the algorithmic and sociotechnical interventions that bring machine learning systems into alignment with societal values---equity and long-term welfare. First, we study the dynamic interactions between machine learning algorithms and populations, for the purpose of mitigating disparate impact in applications such as algorithmic lending and hiring. Next, we consider data-driven decision systems in competitive environments such as markets, and devise learning algorithms to ensure efficiency and allocative fairness. We end by outlining future directions for responsible machine learning in societal systems that bridge the gap between the optimization of predictive models and the evaluation of downstream decisions and impact.<br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><b>Bio: </b><span>Lydia</span> T. <span>Liu</span> is a postdoctoral researcher in Computer Science at Cornell University, working with Jon Kleinberg, Karen Levy, and Solon Barocas. Her research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and human welfare. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley, advised by Moritz Hardt and Michael Jordan, and has received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and a Best Paper Award at the International Conference on Machine Learning.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><b><font face="arial, sans-serif">Host: <a href="mailto:avrim@ttic.edu" target="_blank">Avrim Blum</a></font></b></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p></div></div><div><div dir="ltr"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue, Rm 517</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Feb 1, 2023 at 4:27 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><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Wednesday</font><span class="gmail_default" style="color:rgb(0,0,0)">, February 8th</span><font style="color:rgb(0,0,0)"> at </font><b style="color:rgb(0,0,0)"><u>11:30</u></b><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></font></font><br></font></div><div><p style="color:rgb(80,0,80);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><span style="background-color:rgb(255,255,0)"><br></span></b></font></font></font></p><div><font face="arial, sans-serif"><b><font color="#500050">Where: </font></b><font color="#000000">Talk will be given </font><font color="#000000" style="font-weight:bold"><u>live, in-person</u></font><font style="color:rgb(80,0,80);font-weight:bold"> </font><font style="color:rgb(80,0,80)">at</font></font></div><p class="MsoNormal" style="margin:0in;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="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></font></p><p class="MsoNormal" style="margin:0in;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"> 5th Floor, Room 530<b> </b></font></p><p class="MsoNormal" style="margin:0in;color:rgb(80,0,80);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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Virtually:</b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"> <i>via</i> Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5bf55682-3277-427c-b608-af9c017082e4" target="_blank">livestream</a></b><span style="font-size:14px;color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">)</span><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><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"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(80,0,80)"><b>Who: </b> </font><font color="#500050" style="color:rgb(80,0,80)"> </font><font color="#000000"><font color="#500050"> </font></font></font></font>Lydia T. Liu, Cornell University</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);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"><br></font></p><div class="MsoNormal" align="center" style="margin:0in 0in 8pt;font-size:11pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><p style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"><font face="arial, sans-serif"><b style="letter-spacing:normal;color:rgb(34,34,34)">Title: </b><span style="letter-spacing:normal;color:rgb(34,34,34)">Towards Responsible Machine Learning in Societal Systems</span><br></font></p></div></div></div><div><p style="margin:0px;font-stretch:normal;line-height:normal;min-height:15px"><font face="arial, sans-serif"><b>Abstract:</b> Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings present new statistical, algorithmic, and ethical challenges. In this talk, we examine the distributive impact of machine learning algorithms in societal contexts, and investigate the algorithmic and sociotechnical interventions that bring machine learning systems into alignment with societal values---equity and long-term welfare. First, we study the dynamic interactions between machine learning algorithms and populations, for the purpose of mitigating disparate impact in applications such as algorithmic lending and hiring. Next, we consider data-driven decision systems in competitive environments such as markets, and devise learning algorithms to ensure efficiency and allocative fairness. We end by outlining future directions for responsible machine learning in societal systems that bridge the gap between the optimization of predictive models and the evaluation of downstream decisions and impact.<br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><b>Bio: </b><span>Lydia</span> T. <span>Liu</span> is a postdoctoral researcher in Computer Science at Cornell University, working with Jon Kleinberg, Karen Levy, and Solon Barocas. Her research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and human welfare. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley, advised by Moritz Hardt and Michael Jordan, and has received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and a Best Paper Award at the International Conference on Machine Learning.</font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><font face="arial, sans-serif"><br></font></p><p style="margin:0px;font-stretch:normal;line-height:normal"><b><font face="arial, sans-serif">Host: <a href="mailto:avrim@ttic.edu" target="_blank">Avrim Blum</a></font></b></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p><p style="font-size:13px;margin:0px;font-stretch:normal;line-height:normal;font-family:"Helvetica Neue""><br></p></div><div><div dir="ltr"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue, Rm 517</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div>
</blockquote></div></div>
</blockquote></div></div>