Avinash Madavan is a seasoned professional in the fields of optimization theory, machine learning, and energy market analysis, holding a PhD in Electrical and Electronics Engineering from the University of Illinois Urbana-Champaign. Experience includes a role as a Graduate Research Assistant, focusing on risk-averse energy market design and scalable algorithms for market clearing, as well as a position at Terminal49 as a Machine Learning Consultant, developing statistical models for shipping container ETAs. Avinash also gained valuable experience as an intern at Danske Commodities, where support was provided for FTR pricing analysis and trading viability studies, and later served as a Senior Analyst, designing risk-aware portfolio optimization strategies and validating model routines. Prior educational background includes a Bachelor of Science in Mechanical Engineering from UC San Diego.
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