Biography

I am a fifth-year PhD candidate at the Operations Research Center at MIT, working with Georgia Perakis. My primary research interest lies at the intersection of Optimization and Machine Learning. I collaborate closely with companies, developing novel approaches and algorithms to enable data-driven decision-making in many applications like supply chain and healthcare.

Upcoming & Recent Talks

  • “End-to-End Learning via Constraint-Enforcing Approximators for Linear Programs with Applications to Supply Chains”
    • October 16-19, 2022, Indianapolis, INFORMS 2022 Annual Meeting
  • “A decomposition approach for constrained inventory replenishment”
    • June 26-28, 2022, Munich, MSOM 2022 Conference

Interests
  • Optimization
  • Artificial Intelligence
  • Operations Management
  • Algorithm Design
Education
  • PhD in Operations Research, 2022

    Massachusetts Institute of Techonology

  • Diploma - MEng Electrical & Computer Engineering, 2017

    National Technical University of Athens

Skills

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Machine Learning
Data Science
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Optimization
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Experience

 
 
 
 
 
IBM Research
Research Internship
IBM Research
Jun 2020 – Aug 2020 New York - Zurich
  • Developing algorithms & models to integrate prediction & prescription for Revenue Management applications
  • Incorporating business constraints and state of the art prediction methods
  • Simulating & demonstrating a competitive advantage over classic predict then optimize approach
 
 
 
 
 
Inditex - Zara
Research Externship
Inditex - Zara
Jan 2020 – Feb 2020 A Coruna, Spain
  • Worked on novel machine learning methods to improve demand forecasting for new products.
  • Extensive data analysis and sales pattern extraction
  • Performance testing over large datasets with global historical sales data