Gal Neria

Biographical Details

Gal Neria is an MIT-Kalaniyot Postdoctoral Fellow at MIT Sloan School of Management, developing data-driven algorithms to support real-time decision-making in dynamic and uncertain environments. Her Ph.D. is in Industrial Engineering at Tel Aviv University, advised by Professor Michal Tzur. Her work has been recognized with multiple honors, including the VATAT Scholarship for Outstanding Women Doctoral Students in Hi-Tech and the Best Paper Award by ORSIS. Two of her Ph.D. papers were published in Transportation Science. Beyond research, Gal is passionate about promoting equity—both through algorithmic design and through her community work with students and families affected by conflict and inequality.

Research Interests

Gal’s research lies at the intersection of operations research and machine learning, with a focus on optimizing dynamic stochastic systems. Her work addresses real-world challenges such as equitable distribution in food banks, coordinated meal delivery, and efficient order fulfillment. She studies systems in which real-time decisions must be made under uncertainty, developing hybrid methodologies that combine the structural strengths of optimization models with the predictive power of machine learning. Her goal is to create intelligent, scalable, and fair decision-making systems that are robust to uncertainty and adaptable across a wide range of industries—contributing to more efficient and equitable global operations.

Select Publications

Neria, G., and Tzur, M., 2024. The Dynamic Pickup and Allocation with Fairness Problem. Transportation Science 58(4):821-840.  

Neria, G., Hildebrandt, F.D., Tzur, M. and Ulmer, M.W., 2025. The Restaurant Meal Delivery Problem with Ghost Kitchens. Transportation Science 59(2):433-450.

Neria, G., Tzur, M., and Ulmer, M. “A General Decomposition Framework for Dynamic Two-Stage Order Fulfillment Problems”. Under Review.