After receiving her B.A., Eug spent over two years working as an investment banker at UBS with a focus on structuring and raising debt for financial institutions. In seeing the transformative power and potential of AI tech in so many domains Eug was driven to make a career pivot, returning to school for her masters at NYU. Most recently she worked on using reinforcement learning to play in crypto betting games, built novel generative ML models to diagnose respiratory diseases and spent time creating better data for various CV and VL tasks.

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Eug holds a B.A. in Mathematics from Northwestern University and an M.S. in Data Science from NYU.