Jerod endeavors to constantly challenge and iterate upon educational content and delivery, while creating an empathetic, inclusive, and influential learning environment.
Jerod comes to Metis with 10 years experience in education and professional coaching. He most recently worked in the software engineering bootcamp space, including with Dev Bootcamp and Hack Reactor, on development and growth, operational effectiveness, systems/process optimization, and cross-functional leadership, with an emphasis on organizational health. He held multiple positions including VP of Operations managing a team of 50+ across the country, and Managing Director overseeing local campuses in Seattle, San Francisco, and Austin. Prior to this work, he was a Professor at Guangxi University in China teaching Industrial/Organizational Psychology and Globalization & Cultural Psychology. He enjoys running marathons, triathlons, krav maga, jiu-jitsu, and leadership development and research.
Jonathan Balaban is a consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience.
As a data scientist, he has worked at McKinsey and Booz Allen Hamilton, and he has taught data science at General Assembly. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.
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Talk: Fortune-Telling with Python: Intro to Facebook Prophet (ChiPy Users Group)
Roberto is a scientist with a strong background in data analysis and image/signal processing.
Roberto comes to Metis from Sensoria Inc., where he led the signal processing team. He has worked in applications in the healthcare, internet of things, and business intelligence markets. He received a PhD in Biomedical Engineering from Boston University, and has co-authored several scientific publications, book chapters, and patents. He enjoys hiking and soccer.
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Chad enjoys that data science gives practical approximations to the complex uncertainties of reality.
Chad comes to Metis from a diverse technical background. After earning his mathematics PhD from Indiana University, Chad joined Pacific Northwest National Laboratory to work on statistical and computational challenges ranging from homeland security to high-performance computing and machine learning research. Following several of his publications at top-tier ML conferences, he turned to probabilistic programming, then still in its infancy. He has used these systems for consulting projects for industrial clients, and has led development and publication of several new ones along the way. In his spare time, Chad enjoys a wide range of music, and practices martial arts, where he has black belts in several styles.
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