Join us at the INFORMS Annual Meeting

Gurobi is proud to sponsor the INFORMS Annual Meeting, happening October 26 – 29 in Atlanta, Georgia!

Visit us at Booth 308 to:

  • Learn about the new features and performance enhancements in our upcoming release – Gurobi 13.0.
  • Meet and chat with our optimization experts.
  • Pick up the latest Gurobi swag, stickers and more (while supplies last).
  • Participate in our T-shirt contest!  Get your Gurobi T-shirt at our booth, or any of our speaking sessions listed below.  If your spotted wearing your shirt during the conference, you will get a chance to win a Nintendo Switch 2. The winner will be announced in the Gurobi booth at 4:30pm on Tuesday, October 28th.

 

 

Hear exclusive presentations at INFORMS Annual Meeting from Gurobi Presenters. 

Pre-Conference Workshop
Session: Pushing the Boundaries of Optimization: What’s New in Gurobi 13 and Beyond  
Presenters: Dr. Ed Klotz, Dr. Robert Luce, Dr. Dan Steffy, and Dr. Rodrigo Fuentes from Gurobi Optimization
Location: Building A, Level 3, Room A315
Time: 2:30 – 3:45 & 4:00 – 5:15 PM
Date: Saturday, October 26, 2024
Details:

Join Gurobi’s expert team for a deep dive into the latest advancements in mathematical optimization. This workshop will explore new features in Gurobi 13, including a CPU-based PDHG solver and a local nonlinear solver. Gain insights into emerging technologies like generative AI for optimization, quantum computing,  and our progress on GPU acceleration. The session will conclude with a dynamic panel discussion on the future of optimization and AI. Whether you’re an academic, practitioner, or student, this is your chance to engage directly with Gurobi’s developers and expand your understanding of cutting-edge optimization tools. 

 

Presentation
Session: Recent Advances in the Gurobi Global MINLP Solver
Presenters: Dr. Rodrigo Fuentes, Sr. Technical Account Manager
Location: Building B, Level 2, Room B208
Time: 1:15 – 2:30 PM
Date: Sunday, October 26, 2025
Details: MILP solver codes have been around for more than 50 years.  Their spatial branching counterparts that solve MINLPs to optimality are in an earlier stage of development, making bigger performance improvements easier to accomplish. This talk will discuss performance improvements to the Gurobi MINLP solver as well as support for additional nonconvex nonlinear functions such as the hyperbolic tangent function and the signed power function.

 

Panel
Session: WORMS Panel: Life After the PhD: Exploring Careers in Industry and Academia
Presenters: Dr. Cara Touretzky, Sr. Technical Account Manager
Location: Building A, Level 4, A411
Time: 2:45 – 4:00 PM
Date: Sunday, October 26, 2025
Details: This is not a debate – it’s a conversation. In this panel, organized by WORMS, speakers who have worked in both academia and industry will share candid insights about the realities of each path. Drawing from their own career journeys, panelists will highlight the opportunities and challenges they’ve encountered, how their goals evolved over time, and what they wish they had known when making career decisions. While the session is especially geared toward PhD students and recent graduates exploring their options, anyone curious about post-PhD careers – whether considering a switch or simply seeking clarity – will find value in the discussion. Beyond the broad categories of “industry” and “academia,” panelists will also touch on the wide spectrum of roles available within each domain, including research labs, startups, consulting, tenure-track positions, and more. Join us for an open and practical conversation about how to navigate your career after the PhD—and how to shape it on your own terms.

 

Technology Showcase
Session: Building Trust in Optimization
Presenters: Caroline Weinberg, Manager of Optimization Support
Location: Building A, Level 3, Room A301
Time: 11:00 – 11:35 AM
Date: Monday, October 27, 2025
Details:

In this session we will explore some of Gurobi’s advanced features through the lens of solution explainability, including solution pools, infeasibility analysis, and multi-scenario analysis. Explainability in practice requires both technical skills and successful communication with stakeholders who don’t know how Gurobi works (and that’s ok!). We show how these tools are not just for modeling – they can help users interpret optimization results and build trust their solutions. 

 

Technology Showcase
Session: Cracking the Vault with Gurobot: Generative AI and the Future of Mathematical Modeling
Presenters: Dr. Cara Touretzky, Sr. Technical Account Manager
Location: Building A, Level 3, Room A301
Time: 1:55 – 2:30 PM
Date: Monday, October 27, 2025
Details:

Discover how Gurobi is exploring the use of generative AI to support and streamline the modeling of mathematical optimization problems. Through the lens of a hands-on museum heist challenge, we’ll walk through examples of AI-assisted modeling across varying levels of complexity. We’ll highlight current capabilities, acknowledge present limitations, and offer a glimpse into where we’re headed next as we expand the role of AI in the modeling workflow.

Presentation
Session: Opportunities and Challenges for LP and MIP on the GPU
Presenters: Dr. Robert Luce
Location: Building B, Level 2, Room B201
Time: 4:15 – 5:30 PM
Date: Monday, October 27, 2025
Details:

Recent GPU hardware generations offer high compute throughput for many applications in machine learning, scientific computing, and beyond. How does this new compute power translate into improvements in solving real-world linear and mixed-integer optimization problems in practice?

We review Gurobi’s efforts and research findings on solving optimization problems on the GPU. We touch interior point methods, first-order methods, and relaxation-based MIP heuristics, and we frame these in terms of their applicability and usability on the GPU. Finally, we’ll showcase how Gurobi’s preliminary GPU-based components compare, performance-wise, to our standard CPU-based counterparts across a wide range of real-world models

Presentation
Session: Recent Developments in the Gurobi MILP Solver “Integer and Discrete Optimization”
Presenters: Dr. Ed Klotz
Location: Building B, Level 2, Room B213
Time: 11:00 – 12:15 PM
Date: Tuesday, October 28, 2025
Details:
Performance improvements to the Gurobi MILP Solver will be discussed. Topics include extending large neighborhood search heuristics such as RINS (Relaxation Induced Neighborhood Search) to make use of infeasible integral vectors, and extensions to Optimization Based Bound Tightening (OBBT) to handle specific constructs common to some challenging MILP and MINLP problems.

Presentation
Session: Recent Developments in the Gurobi Optimizer
Presenters: Dr. Dan Steffy, Sr. Optimization Engineer
Location: Building B, Level 2, Room B212
Time: 11:00 AM – 12:15 PM
Date: Tuesday, October 28, 2025
Details:

This talk will discuss new features and performance enhancements in the Gurobi Optimizer for LP, MILP and Global MINLP. We will also present preliminary performance results for the upcoming release.

Technology Showcase
Session: Optimization Education with Gurobi: A Social-Impact Case Study
Presenters: Lindsay Montanari & Everett Dutton
Location: Building A, Level 3, Room A301
Time: 1:55 – 2:30 PM
Date: Tuesday, October 28, 2025
Details:

Gurobi, in partnership with ESUPS (Emergency Supply Pre-positioning Strategy), presents a new educational case study showcasing ESUPS’ utilization of optimization to stage relief inventory for humanitarian organizations. ESUPS unites NGOs, UN agencies, governments, and academics to improve logistics preparedness. The STOCKHOLM platform (STOCK of Humanitarian Organizations Logistics Mapping) applies data analytics techniques including optimization to determine where to pre-position supplies, minimize response times, and maximize coverage in crises where every hour matters. This case study guides students and instructors through the full optimization pipeline: translating a complex humanitarian challenge into data, math, and models that support real-world decision making. Freely available, it gives learners hands-on experience with optimization in action, demonstrating how these methods can transform disaster response and deliver measurable social impact.

Presentation
Session: Exploring the Interplay between LLMs and Mathematical Optimization Model Building
Presenters: Erik Halseth, Technical Account Manager
Location: Building B, Level 2, Room B201
Time: 2:45 – 4:00 PM
Date: Tuesday, October 28, 2025
Details:

Generative AI tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage opportunities in this space while honoring the importance of practicing classical model development techniques. We’ll walk you through some work aimed at equipping users with knowledge and tools for leveraging LLMs to develop and execute optimization models with gurobipy. We will hone in a hypothetical workflow that will serve to highlight aspects on bridging together LLMs and mathematical optimization models. Whether you’re starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can boost your decisioning systems.

 

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