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EVENT DETAILS |
<P>Visit us at<A HREF="http://www.thisismetis.com" REL="nofollow">Metis</A>in New York City on Wednesday, July 29 from 6:30 - 8pm and meet the instructors, students and <A HREF="http://www.thisismetis.com/ds-alumni" REL="nofollow">alumni</A> of our <A HREF="http://www.thisismetis.com/data-science" REL="nofollow">Data Science Bootcamp</A>.</P>
<P>Enjoy pizza and drinks on us as Data Science instructors Aaron Schumacher and Jonathan Hanke walk you through a sampling of what students learn throughout their 12 weeks of project-based Data Science work. Megan Ayraud, Metis Head of Careers, will also speak about the career support process.</P>
<P><STRONG>6:30 - 7:00</STRONG> Register, Mingle, Eat & Drink<BR><STRONG>7:00 - 7:30</STRONG> Aaron and Jonathan discuss the Metis Data Science Bootcamp and Megan shares the career support structure<BR><STRONG>7:30 - 8:00</STRONG> Chat with Metis students, staff and alumni and enjoy more food & drink</P>
<P><EM><SPAN STYLE="color: #ff0000;">Note: <SPAN STYLE="color: #000000;">This event is also available for live stream viewing and participation. Live stream attendees will have the option to chat live with Metis and ask questions of Metis instructors:</SPAN></SPAN> <A HREF="https://thisismetis.formstack.com/forms/metisopenhouse" REL="nofollow">Live Stream RSVP</A></EM></P>
<P>Leah Nicolai, Metis Program Manager, and Jason Moss, Metis Co-Founder, will also be on hand to take your questions.</P>
<P>Plan on learning about the Bootcamp curriculum and outcomes and how it culminates with the Metis Career Day when hiring partners come to Metis for student portfolio reviews.<BR></P>
<P><SPAN><IMG SRC="https://cdn.evbuc.com/eventlogos/95465141/metis.jpg" ALT="" WIDTH="600"></SPAN></P>
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<P><IMG STYLE="float: left; margin-top: 2px; margin-bottom: 2px;" SRC="https://cdn.evbuc.com/eventlogos/95465141/aaronschumacher.png" ALT="Aaron Schumacher"></P>
<P><STRONG STYLE="font-size: 13px; line-height: 1.6em;">Aaron Schumacher</STRONG></P>
<P><EM>Metis Data Science Instructor<BR><A HREF="https://twitter.com/planarrowspace" REL="nofollow">@planarrowspace</A></EM></P>
<P>Aaron comes to Metis from consultancy Booz Allen Hamilton, where he helped government clients make effective use of data. His work has ranged from building visualization prototypes with the UK's National Health Service and NYU's GovLab to winning the Arlington Public Schools Big Data Roundtable by building predictive models for student outcomes. Aaron's academic background is in math. After graduating with a BS at the University of Wisconsin-Madison, he earned a MAT Mathematics from Bard College where his thesis demonstrated a novel construction of quaternion and octonion integers. Since then, Aaron has enjoyed working on more directly practical problems. Always passionate about education, Aaron first taught data science by that name in 2013; his students have gone on to work at companies including Airbnb, Infochimps, and Netflix.</P>
<P><BR><IMG STYLE="float: left; margin-top: 2px; margin-bottom: 2px;" SRC="https://cdn.evbuc.com/eventlogos/95465141/jonathanhanke.png" ALT="Jonathan Hanke"></P>
<P><STRONG STYLE="line-height: 1.6em;">Jonathan Hanke</STRONG></P>
<P><EM>Metis Data Science Instructor<BR><A HREF="http://jonhanke.com/" REL="nofollow">Personal Website</A></EM></P>
<P>Jonathan comes to Metis after working as an independent consultant with a background in Mathematics, Finance, and Software Development. His mathematical work on computational number theory and quadratic forms have focused on using computers to solve hard problems for over a decade, culminating with a proof of the 290-Theorem (jointly with 2014 Fields Medalist Manjul Bhargava). He has contributed extensively to the open-source SAGE computer algebra system and enjoys using the latest technologies to create a more productive world. Jonathan has been involved with mentoring at the PROMYS program for high school students at Boston University since he attended as a student 25 years ago, and currently serves as a Trustee of the PROMYS Foundation. He has also worked on Stochastic Portfolio Theory as a way of understanding the structure of equity markets through their price movements. Since receiving his Ph.D. in Mathematics from Princeton University, Jonathan has lectured internationally and taught mathematics at many interesting places including Princeton, Duke, Rutgers, and the University of Georgia over the last 15 years. His students have gone on to successful careers in academia, cryptography and data science.</P>
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<P><SPAN>Connect with us before the event!<SPAN STYLE="color: #3366ff;"><A HREF="https://twitter.com/thisismetis" REL="nofollow"><SPAN STYLE="color: #3366ff;">@thisismetis</SPAN></A></SPAN></SPAN></P>
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