Interview with Senior Data Science Strategist Jerry Yurchisin from Gurobi, discussing the mathematical optimization solver company.
Jerry Yurchisin, a seasoned mathematician with a diverse educational background, has joined Gurobi, a leading company in mathematical optimization. Yurchisin's impressive academic portfolio includes master's degrees in Applied Mathematics, Operations Research, and Statistics, as well as a Bachelor of Education degree in Integrated Mathematics.
Yurchisin's interest in mathematical optimization was sparked during his graduate studies, and he has since devoted his career to this field. As the popularity of data science rose, Yurchisin began to pivot towards more data-science-oriented work.
In his new role at Gurobi, Yurchisin aims to share the benefits of mathematical optimization with data science audiences. He emphasizes the importance of mathematical optimization in making informed and future-proof decisions, beyond the predictive power of data science.
Gurobi's mathematical optimization solver has been successfully applied in various real-world business applications, demonstrating its versatility and effectiveness in enhancing decision-making processes.
Applications of Gurobi's Mathematical Optimization Solver
55ip: Tax-Smart Investment Solutions
55ip, a company offering tax-smart investment solutions, uses Gurobi for optimizing investment portfolios with account-specific strategies. Gurobi's support for integer and quadratic constraints, along with multi-objective optimization, allows 55ip to efficiently customize portfolios for its growing client base, providing faster and more flexible solutions compared to open-source alternatives.
ESUPS: Humanitarian Logistics Optimization
In the humanitarian sector, Gurobi is used in the STOCKHOLM platform by ESUPS to optimize relief stock mapping and coordination across humanitarian operations. This application of Gurobi improves disaster relief logistics, enabling humanitarian organizations to make more informed decisions and respond more effectively to crises.
General Logistics and Transportation
While specific companies like UPS are not detailed in Gurobi's direct use, the broader logistics industry relies on optimization tools to manage complex supply chains and scheduling. Optimization solutions like Gurobi can help reduce costs and improve efficiency in logistics by providing scalable and certain outcomes, which are essential for large-scale operations.
Gurobi's Impact on the NFL
Gurobi's work with the National Football League (NFL) has simplified the process of creating fair and exciting schedules. The adoption of Gurobi by the NFL has provided more accessible scheduling options than ever before, allowing planners to focus more on determining the most fair and exciting schedule possible for the teams, players, and fans. Gurobi's solver generates and analyzes over 50,000 schedules in the time it used to take for five options, revolutionizing the NFL's scheduling process.
Using Gurobi's Optimizer
The user's job is to represent their decisions, constraints, and objectives mathematically, then use their favorite programming language to code the problem and call the solver. The Gurobi Optimizer is the world's fastest mathematical optimization solver, taking a mathematical model and calculating the optimal solution. It allows modeling of problems with simple linear expressions or complex nonlinear relationships, while solving them to global optimality.
Yurchisin has been instrumental in creating engaging and approachable content for data scientists as part of Gurobi's Optimization for Data Scientists training series. His work at Gurobi is focused on reaching the data science and artificial intelligence communities and demonstrating the benefits of mathematical optimization.
[1] Source: Gurobi Case Study: 55ip
[2] Source: Gurobi Case Study: ESUPS
[3] Source: Gurobi Case Study: General Logistics and Transportation
[4] Source: Gurobi's Work with the NFL
[5] Source: Gurobi's Benefits in Logistics
Data-and-cloud-computing and technology are integral as Jerry Yurchisin investigates the application of Gurobi's Mathematical Optimization Solver in various sectors, such as tax-smart investment solutions companies like 55ip, humanitarian organizations like ESUPS, and the broader logistics industry. Learning from these real-world applications, Yurchisin emphasizes the importance of mathematical optimization in adoption and development of technology, including education-and-self-development in the data science and artificial intelligence communities through Gurobi's Optimization for Data Scientists training series.
Gurobi's Mathematical Optimization Solver embodies learning and its benefits, as demonstrated by its use in enhancing decision-making processes in diverse industries and its potential to revolutionize fields like NFL scheduling, enabling faster, more informed, and fairer results.
