Michael Horejsei

Lead Estimator Ohio State University

Michael Horejsei is a seasoned construction management professional with a proven track record in estimating, pre-construction, and project delivery. As Lead Estimator for Facilities Design & Construction at The Ohio State University, he oversees complex projects with a focus on accuracy, cost efficiency, and strategic planning. His expertise includes data analysis, conceptual estimating, Building Information Modeling (BIM), and advanced estimating methodologies, enabling him to support large-scale institutional projects from concept through execution.
Michael’s academic foundation includes a Master of Engineering from the University of Alabama at Birmingham and a Bachelor of Science in Construction Management from The Ohio State University, where he was a varsity baseball letter winner and Big Ten Champion. His career spans roles with leading construction firms and a unique chapter as a professional baseball player after being selected in the Major League Baseball draft within the Chicago White Sox Organization.

Seminars

Thursday 7th May 2026
Client Panel: Evaluating the Role of Project Partners During Financing & Budget Development to Secure Project Viability
9:35 am
  • Discussing the current dynamics shifting project financing sources, timelines and models across different markets
  • Working with stakeholders to help navigate financing hurdles with technical advisors, escalation forecasting and grant opportunities
  • Surveying client underwriting and lending requirements
  • Debating how long a project can sit on the shelf before new estimates and budgets are needed
Thursday 7th May 2026
Case Study: Establishing Robust Data Governance Standards & Practices to Turn Cost Data into a Valuable Tool for Predicting Cost Insights
11:45 am
  • Defining generalized, applicable parameters for classifying cost data across different projects and markets
  • Integrating consistent data gathering practices into existing workflows to make data governance easier to implement
  • Building a robust quality control process to ensure that data input consistently meets governance standards and practices

Case Study

Michael Horejsei