Interview with Jerry Yurchisin, Senior Data Science Strategist, discussing Gurobi - the mathematical optimization solver company.
Jerry Yurchisin, a Senior Data Science Strategist at Gurobi, is a mathematics and operations research expert who leverages his extensive experience to help businesses make better decisions in complex scenarios.
Yurchisin's interest in mathematical optimization and linear programming was ignited during his graduate studies. He holds a Bachelor of Education degree in Integrated Mathematics, as well as master's degrees in Applied Mathematics, Operations Research, and Statistics.
Yurchisin joined Gurobi due to its potential to drive widespread adoption of optimization projects and to share the benefits of mathematical optimization with data science audiences. At Gurobi, he works on demonstrating the value of incorporating mathematical optimization into the skillset of data scientists.
One of the industries that has benefited greatly from Gurobi's solutions is the National Football League (NFL). With Gurobi's tools, NFL planners can generate and analyze over 50,000 football schedules, a significant increase from the five options they used to produce. This allows the planners to dedicate more time to determining the most fair and exciting schedule possible for the teams, players, and fans.
Gurobi's core product is the Gurobi Optimizer, the world's fastest mathematical optimization solver. The Optimizer allows users to model their problem the way they need to, be it simple linear expressions or complex nonlinear relationships. The Optimizer solves problems to global optimality.
The Gurobi Instant Cloud enables users to run the Optimizer on their choice of Azure or AWS cloud environments, while the Gurobi Compute Server offloads intense computations needed for optimization problems onto dedicated and clustered servers.
Yurchisin has played a key role in educating data scientists on the ins and outs of mathematical optimization. He has created lessons for Gurobi's Optimization for Data Scientists training series, including Opti 101, 201, and 202. He has also collaborated with partners and Gurobi Experts to develop engaging and approachable content for the series.
In addition to his work in sports scheduling, Yurchisin advises industries like airlines on integrating optimization and AI for dynamic, profit-oriented pricing strategies that consider real-time factors beyond historical data.
In summary, Jerry Yurchisin's career is marked by a strong scholarly background in mathematics and operations research, practical experience in optimization consulting and federal work, and a strategic role at Gurobi where he applies his expertise to advance the use of mathematical optimization and AI to solve complex, real-world decision problems.
- Jerry Yurchisin's role at Gurobi involves demonstrating the importance of incorporating data-and-cloud-computing technologies to optimize machine learning models, thereby boosting education-and-self-development in data science.
- The Gurobi Instant Cloud, a cloud-based technology offering, supports learning by enabling users to run the Optimizer on Azure or AWS environments, expediting the process of solving complex optimization problems.
