Biography
I am a Research Scientist in Modeling and Optimization (MOP) at Amazon working on supply chain optimization. I got my PhD in Operations Research from MIT working with Professor Georgia Perakis. My primary research interest lies at the intersection of Optimization and Machine Learning. I develope novel approaches and algorithms to enable data-driven decision-making on real world application.
Recent Talks
- “SAFE: A Supervised Approach for Feature Engineering”
- October, Indianapolis, INFORMS 2022 Annual Meeting
- “End-to-End Learning via Constraint-Enforcing Approximators for Linear Programs with Applications to Supply Chains”
- October, Indianapolis, INFORMS 2022 Annual Meeting
- “A decomposition approach for constrained inventory replenishment”
- June, Munich, MSOM 2022 Conference
Interests
- Optimization
- Artificial Intelligence
- Operations Management
- Algorithm Design
Education
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PhD in Operations Research, 2022
Massachusetts Institute of Techonology
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Diploma - MEng Electrical & Computer Engineering, 2017
National Technical University of Athens
Skills
Machine Learning
Data Science
Optimization
Experience
Research Scientist
Amazon
- Supply Chain Optimization at MOP
Research Internship
IBM Research
- Developing algorithms & models to integrate prediction & prescription for Revenue Management applications
Research Externship
Inditex - Zara
- Worked on novel machine learning methods to improve demand forecasting for new products.