Gabriel Terejanu

About Gabriel Terejanu

I bridge research and industry to develop impactful solutions in Causal AI, Invariant Machine Learning, Bayesian Inference, and Uncertainty Quantification, driving innovation in physical sciences and data science. With experience as a software engineer, quantitative researcher in IT and financial services, and AI consultant for healthcare and biotech, I lead teams to solve complex problems. I have secured funding from NSF, ARO, and USDA and collaborated with industry leaders like Lowe’s Home Improvement, LendingTree, Toyota Racing Development, and Atrium Health. I look forward to partnering with forward-thinking organizations to unlock new opportunities and drive meaningful change.

Experience

1. Co-founder

   Hex5.App

   Jan 2025 — Present · Charlotte, NC, US

   Hex5 is built to help pop-up vendors succeed. Our mission is to provide vendors with the research tools and market intelligence they need to choose the right pop-up market locations, understand their local customers, and maximize their sales for every event.

Education

• University at Buffalo

  PhD, Computer Science and Engineering

  2006 — 2010

• University of Craiova

  Engineering Diploma (B.Eng./M.Eng.), Automation, Specialization Robotics

  1999 — 2004

Skills

• Data Mining
• Bayesian Inference
• Research
• Simulations
• Parallel Computing
• Applied Mathematics
• Optimization
• Statistical Modeling
• Machine Learning
• Scientific Computing
• C++
• Predictive Modeling
• Python
• Latex
• Mathematical Modeling
• Algorithms
• Numerical Analysis
• Mpi
• Uncertainty Quantification
• Financial Modeling
• R
• Pattern Recognition
• Business Intelligence
• Bayesian Statistics
• V&V
• Model Validation
• Matlab
• High Performance Computing