Jean Pauphilet

Assistant Professor

London Business School

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Jean Pauphilet is an Assistant Professor at London Business School, located in the United Kingdom. His research areas include optimization techniques, healthcare systems optimization, and network design, as evidenced by his recent articles on plastic-free oceans, nurse scheduling, and robust optimization methods. He actively contributes to both theoretical advancements and practical applications in his fields of study.

Articles (16)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (2)

Ryan Cory-Wright

Assistant Professor of Analytics and Operations

Imperial College Business School

UNITED KINGDOM

View details

Bart Paul Gerard Van Parys

Assistant Professor

Massachusetts Institute of Technology

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jean Pauphilet

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Optimizing the Path Towards Plastic-Free Oceans

Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital

Hospital-Wide Inpatient Flow Optimization

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations

A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design

Code and Data Repository for A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design

Robust Combination Testing: Methods and Application to COVID-19 Detection

Minkowski Centers via Robust Optimization: Computation and Applications

Publisher Correction to: A new perspective on low-rank optimization

A new perspective on low-rank optimization

Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints

Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics

Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items

Sparse classification: a scalable discrete optimization perspective

Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries

A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints

Collaborators (2)

Ryan Cory-Wright

Bart Paul Gerard Van Parys

Make your next move.