Wissam Sleiman

About Wissam Sleiman

The more varied your training, the more varied the analogies you can draw. And analogical thinking is crucial to solving novel problems.” — David EpsteinLiving that principle, I’ve shaped my path as an AI-focused Researcher and Data Scientist by integrating knowledge from multiple domains. I specialize in machine learning, network science, and statistical modeling—built on a foundation in mechanical engineering that taught me analytical thinking and systems-level reasoning. These skills have carried over into my work across transportation, robotics, and health monitoring systems.I’ve designed and deployed advanced data-driven models that drive measurable improvements in complex environments. With added expertise in cloud computing, I’ve optimized the architecture of these solutions for scalability and performance. My strength lies in drawing connections across disciplines, enabling me to adapt with ease and tackle new problems with both creativity and precision.I thrive at the intersection of research and application—where data becomes a catalyst for meaningful change.Excited to connect and exchange ideas.

Experience

1. Applied Scientist Fellow

   Federal Highway Administration

   Jan 2024 — Present · VA, US

   Designed and implemented SHRP2 Analytics, a scalable data processing platform empowering FHWA researchers with large-scale geospatial analysis and dynamic GIS dataset visualizations.• Engineered and optimized a high-performance Big Data merging and filtering tool, automating intricate data integration workflows, reducing manual effort by 41%, and delivering customizable, research-driven outputs for over SHRP2 data users.

Education

• CSJA

  General Science

  2001 — 2016

• The George Washington University

  Doctor of Philosophy - PhD, Transportation Engineering

• Notre Dame University - Louaize (NDU)

  Bachelor of Engineering - BE, Mechanical Engineering

  2016 — 2021