BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230306T205806Z UID:6B4D1607-F9C1-44CA-841A-AEF0793A6136 DTSTART;TZID=America/Los_Angeles:20230302T170000 DTEND;TZID=America/Los_Angeles:20230302T180000 DESCRIPTION:Hello IEEE – Computer Society Members\,\n\nWe are excited to invite you to a virtual career panel hosted by [University of Washington P rofessional and Continuing Education](https://www.pce.uw.edu/) (UW PCE) on Thursday\, March 2nd from 5-6pm PST! This panel will feature members of t he [Data Science](https://www.pce.uw.edu/certificates/data-science) and [M achine Learning](https://www.pce.uw.edu/certificates/machine-learning) pro grams’ joint advisory board.\n\nThe panelists will discuss skills needed to get into or advance in the industry\, interviewing best practices\, te chnical aspects of data scientists\, future of the career path\, and more. They will also welcome questions from attendees.\n\nPanelists:\n\n- [Anis h Mohan](https://www.linkedin.com/in/animohan/)\, Senior Manager - Solutio n Architecture\, Data Science & Machine Learning @ NVIDIA Corp\n- Anish Mo han leads a team building Data Science and Machine Learning Solutions with key NVIDIA customers in the greater Seattle region. Before NVIDIA\, he wa s at Microsoft’s AI Division\, working to develop and deploy AI and ML s olutions.\n\n- [Eric Nichols](https://www.linkedin.com/in/ericnichols/)\, Staff Machine Learning Engineer @ Cruise\n- Eric Nichols has been working in machine learning roles in the tech industry for the past decade. He rec eived a Ph.D. in computer science and cognitive science at Indiana Univers ity in 2012 for work in computer models of music cognition. After that he worked at Google and then Microsoft in projects related to music and audio understanding and generation with deep learning\, and led a home recommen dations team at Zillow. Recently he moved to Cruise to work on deep learni ng-based simulation for self-driving cars.\n\n- Janet Matsen\, Software En gineer\, Machine Learning @ Benchling\n- Janet Matsen specializes in Machi ne Learning for Biotechnology. She is currently at Benchling\, on a new ma chine learning team that is figuring out how machine learning can make the ir ~1100 customers more efficient. Previously she was at Zymergen\, develo ping algorithms to design new organisms that can make valuable chemicals.\ n\nWe encourage you to learn more about UW PCE and the programs we offer. Reach out to enroll@pce.uw.edu with questions about our offerings. We hope to see you there!\n\nCo-sponsored by: UW PCE\n\nVirtual: https://events.v tools.ieee.org/m/349839 LOCATION:Virtual: https://events.vtools.ieee.org/m/349839 ORGANIZER:dbutcher@ieee.org SEQUENCE:3 SUMMARY:Virtual Career Panel: Data Science & Machine Learning URL;VALUE=URI:https://events.vtools.ieee.org/m/349839 X-ALT-DESC:Description: <br /><p>Hello IEEE &ndash\; Computer Society Membe rs\,</p>\n<p>We are excited to invite you to a virtual career panel hosted by <a href="https://www.pce.uw.edu/">University of Washington Professiona l and Continuing Education</a> (UW PCE) on <strong>Thursday\, March 2<sup> nd</sup> from 5-6pm PST!</strong> This panel will feature members of the < a href="https://www.pce.uw.edu/certificates/data-science">Data Science</a> and <a href="https://www.pce.uw.edu/certificates/machine-learning">Machin e Learning</a> programs&rsquo\; joint advisory board.</p>\n<p>The panelist s will discuss skills needed to get into or advance in the industry\, inte rviewing best practices\, technical aspects of data scientists\, future of the career path\, and more. They will also welcome questions from attende es.</p>\n<p><strong><u>Panelists:</u></strong></p>\n<ul>\n<li><a href="htt ps://www.linkedin.com/in/animohan/"><strong>Anish Mohan</strong></a>\, <em >Senior Manager - Solution Architecture\, Data Science &amp\; Machine Lear ning @ NVIDIA Corp</em>\n<ul>\n<li>Anish Mohan leads a team building Data Science and Machine Learning Solutions with key NVIDIA customers in the gr eater Seattle region. Before NVIDIA\, he was at Microsoft&rsquo\;s AI Divi sion\, working to develop and deploy AI and ML solutions.</li>\n</ul>\n</l i>\n<li><a href="https://www.linkedin.com/in/ericnichols/"><strong>Eric Ni chols</strong></a>\, <em>Staff Machine Learning Engineer @ Cruise</em>\n<u l>\n<li>Eric Nichols has been working in machine learning roles in the tec h industry for the past decade. He received a Ph.D. in computer science an d cognitive science at Indiana University in 2012 for work in computer mod els of music cognition. After that he worked at Google and then Microsoft in projects related to music and audio understanding and generation with d eep learning\, and led a home recommendations team at Zillow. Recently he moved to Cruise to work on deep learning-based simulation for self-driving cars.</li>\n</ul>\n</li>\n<li><strong>Janet Matsen</strong>\, <em>Softwar e Engineer\, Machine Learning @ Benchling</em>\n<ul>\n<li>Janet Matsen spe cializes in Machine Learning for Biotechnology. She is currently at Benchl ing\, on a new machine learning team that is figuring out how machine lear ning can make their ~1100 customers more efficient.&nbsp\; Previously she was at Zymergen\, developing algorithms to design new organisms that can m ake valuable chemicals.</li>\n</ul>\n</li>\n</ul>\n<p>We encourage you to learn more about UW PCE and the programs we offer. Reach out to <a href="m ailto:enroll@pce.uw.edu">enroll@pce.uw.edu</a> with questions about our of ferings. We hope to see you there!</p> END:VEVENT END:VCALENDAR