Vassilis DIGALAKIS

Professeur Assistant

Information Systems et Operations Management

digalakis@hec.fr https://vvdigalakis.github.io/
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Biographie

Vassilis Digalakis Jr is an Assistant Professor of Operations Management at the Information Systems and Operations Management Department at HEC Paris, affiliated with Hi! Paris and GREGHEC. He completed his Ph.D. in Operations Research at MIT in 2023, advised by Prof. Dimitris Bertsimas. His research develops analytics and interpretable machine learning methodologies to facilitate the adoption of data-driven decision support tools in high-stakes applications, primarily in sustainability and healthcare. Vassilis has collaborated, among others, with OCP, the world's largest producer of phosphate and phosphate-based products, to develop an optimization framework that guides their 2 billion USD investment in solar panels and batteries; and with the Federal Emergency Management Agency to help them decide on locations for COVID-19 mass vaccination centers and state-level allocation policy. He is the recipient of awards including the 2023 M&SOM Practice-Based Research Competition Finalist and the 2021 INFORMS Pierskalla Award. 

To find out more, visit Vassili's personal website https://vvdigalakis.github.io/.

Articles scientifiques

Slowly Varying Regression under Sparsity

Operations Research, À paraître, (in coll. with D. BERTSIMAS, M. L. LI, O. S. LAMI)

Decarbonizing OCP

Manufacturing & Service Operations Management, À paraître, (in coll. with D. Bertsimas, R. Cory-Wright)

Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme

IEEE Transactions on Knowledge and Data Engineering, février 2023, vol. 35, n° 2, pp 1541-1553, (in coll. with D. Bertsimas)

Where to locate COVID-19 mass vaccination facilities?

Naval Research Logistics, mars 2022, vol. 69, n° 2, pp 179-200, (in coll. with D. Bertsimas, A. Jacquillat, M. L. Li, A. Previero)

The backbone method for ultra-high dimensional sparse machine learning

Machine Learning, juin 2022, vol. 111, pp 2161-2212, (in coll. with D. Bertsimas)

From predictions to prescriptions: A data-driven response to COVID-19

Health Care Management Science, juin 2021, vol. 24, pp 253-272, (in coll. with D. Bertsimas, L. Boussioux, R. Cory-Wright, A. Delarue, A. Jacquillat, D. L. Kitane, G. Lukin, M. Li, L. Mingardi, O. Nohadani, A. Orfanoudaki, T. Papalexopoulos, I. Paskov, J. Pauphilet, O. S. Lami, B. Stellato, H. T. Bouardi, K. V. Carballo, H. Wiberg,)

Cahiers de recherche

Improving Stability in Decision Tree Models

Cahier de Recherche , 2023

Decarbonizing OCP

Cahier de Recherche , 2022

Improved Pan-Private Stream Density Estimation

Cahier de Recherche , 2021

Slowly Varying Regression under Sparsity

Cahier de Recherche , 2021

Articles scientifiques

Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme

IEEE Transactions on Knowledge and Data Engineering, février 2023, vol. 35, n° 2, pp 1541-1553, (in coll. with D. Bertsimas)

The backbone method for ultra-high dimensional sparse machine learning

Machine Learning, juin 2022, vol. 111, pp 2161-2212, (in coll. with D. Bertsimas)

Where to locate COVID-19 mass vaccination facilities?

Naval Research Logistics, mars 2022, vol. 69, n° 2, pp 179-200, (in coll. with D. Bertsimas, A. Jacquillat, M. L. Li, A. Previero)

From predictions to prescriptions: A data-driven response to COVID-19

Health Care Management Science, juin 2021, vol. 24, pp 253-272, (in coll. with D. Bertsimas, L. Boussioux, R. Cory-Wright, A. Delarue, A. Jacquillat, D. L. Kitane, G. Lukin, M. Li, L. Mingardi, O. Nohadani, A. Orfanoudaki, T. Papalexopoulos, I. Paskov, J. Pauphilet, O. S. Lami, B. Stellato, H. T. Bouardi, K. V. Carballo, H. Wiberg,)

Cahiers de recherche

Improving Stability in Decision Tree Models

Cahier de Recherche , 2023

Decarbonizing OCP

Cahier de Recherche , 2022

Improved Pan-Private Stream Density Estimation

Cahier de Recherche , 2021

Slowly Varying Regression under Sparsity

Cahier de Recherche , 2021

Formation

  • Ph.D. in Operations Research, MIT, Massachusetts Institute of Technology - Etats-Unis

Nominations académiques

Responsabilités académiques à HEC

  • 2023- Professeur Assistant, Information Systems and Operations Management HEC Paris
  • 2023- Membre du GREGHEC, le laboratoire de recherche CNRS-HEC Paris, GREGHEC HEC Paris

Activités scientifiques

Activités scientifiques

  • Reviewer for Operations Research, Manufacturing & Service Operations Management, Journal of Machine Learning Research, INFORMS Journal on Computing, INFORMS Journal on Optimization

    • Conference organisation

  • 2021- INFORMS Annual Meeting Session Chair

    • Prix ​​& honneurs

    • 2023 MIT ORC Best Student Paper Competition | Honorable Mention for “Decarbonizing OCP" with Dimitris Bertsimas & Ryan Cory-Wright
    • 2023 MSOM Practice-Based Research Competition | Finalist for “Decarbonizing OCP" with Dimitris Bertsimas & Ryan Cory-Wright by INFORMS