Virtual Career Panel: Data Science & Machine Learning

Hello IEEE – Computer Society Members, We are excited to invite you to a virtual career panel hosted by (https://www.pce.uw.edu/) (UW PCE) on Thursday, March 2nd from 5-6pm PST! This panel will feature members of the (https://www.pce.uw.edu/certificates/data-science) and (https://www.pce.uw.edu/certificates/machine-learning) programs’ joint advisory board. The panelists will discuss skills needed to get into or advance in the industry, interviewing best practices, technical aspects of data scientists, future of the career path, and more. They will also welcome questions from attendees. Panelists: – (https://www.linkedin.com/in/animohan/), Senior Manager – Solution Architecture, Data Science & Machine Learning @ NVIDIA Corp – Anish Mohan leads a team building Data Science and Machine Learning Solutions with key NVIDIA customers in the greater Seattle region. Before NVIDIA, he was at Microsoft’s AI Division, working to develop and deploy AI and ML solutions. – (https://www.linkedin.com/in/ericnichols/), Staff Machine Learning Engineer @ Cruise – Eric Nichols has been working in machine learning roles in the tech industry for the past decade. He received a Ph.D. in computer science and cognitive science at Indiana University 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 recommendations team at Zillow. Recently he moved to Cruise to work on deep learning-based simulation for self-driving cars. – Janet Matsen, Software Engineer, Machine Learning @ Benchling – Janet Matsen specializes in Machine Learning for Biotechnology. She is currently at Benchling, on a new machine learning team that is figuring out how machine learning can make their ~1100 customers more efficient. Previously she was at Zymergen, developing algorithms to design new organisms that can make valuable chemicals. We 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! Co-sponsored by: UW PCE Virtual: https://events.vtools.ieee.org/m/349839