Headshot of Justin Goodson

Scholar and Educator

Better logistics in the face of uncertainty

I solve sequential decision problems. My work spans analytics, reinforcement learning, and supply chain management.

Meet Dr. Goodson

From Theory to Impact

I build optimization tools that power modern logistics

Fleet of self-driving vehicles

Coordinating Driverless Operations

Autonomous ridesharing transforms public transit. "Dynamic Ridehailing with Electric Vehicles," published in Transportation Science, introduces AI methods that match riders with vehicles and proactively position the fleet for future use and charging needs.

Road sign displaying: what are you waiting for?

Balancing Service and Convenience

Take back your time. Stop waiting around for the cable guy. Published in Transportation Science, "Optimal Service Time Windows" prescribes a strategy to shrink service windows in the face of uncertain demand without eroding customer service levels.

Electric van charging

Electrifying Last-Mile Logistics

Don't let the uncertainty of public charging stall fleet electrification. Published in Transportation Science, "Electric Vehicle Routing with Public Charging Stations" engineers optimization tools to generate delivery routes in the face of congestion.

From Data to Decisions

I cultivate a quantitative mindset that builds insight at every level

Pair of dice

Betting On Uncertainty

Forecasts fail when they ignore volatility. Moving beyond a single-scenario mindset, executives and professionals implement hedging strategies that insulate their organizations from the unknown by allocating resources across a range of outcomes.

List

Algorithms to Live By

Undergrads personalize mathematics. What should we do (or not) in a day or a lifetime? What amount of new and familiar yields the most fulfillment? How much chaos can we manage? A course about the problems we face, and how math empowers us to design a more meaningful life.

Decision tree

Optimizing Sequential Decisions

Doctoral students master the foundations of reinforcement learning. They formulate strategies to balance immediate performance with long-term gains. The course synthesizes modern methods across dynamic programming, optimal control, and AI to solve large-scale sequential decision problems.

More About Me

Role. I direct the master's program in supply chain management at Saint Louis University's Chaifetz School of Business, where my research probes the intersection of logistics, uncertainty, and decision making.

Education. I earned a PhD in business analytics from the University of Iowa and completed my MS and BS in industrial engineering, along with an MBA, at the University of Missouri.

Research. I publish in journals such as Operations Research and Transportation Science. The Institute for Operations Research and the Management Sciences (INFORMS) honored my research with best paper awards.

Teaching. I received distinction at SLU as the MBA Faculty of the Year and as a top educator in St. Louis through the Emerson Excellence in Teaching Awards.

Consulting. Beyond research and teaching, I partner with organizations to engineer solutions for complex logistics, operational, and supply chain challenges.

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Justin Goodson speaking with a colleague