Education

Doctor of Philosophy (Ph.D.), Stanford University, 2019
Department of Civil and Environmental Engineering (CEE)
Department of Management, Science, and Engineering (MS&E)

• Focus on Energy in Distributed Generation and Building-to-Grid Integration using Machine Learning Models

Engineer Degree (D.Eng.), Stanford University
Department of Civil and Environmental Engineering

Master of Engineering, Vanderbilt University
Department of Civil and Environmental Engineering
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Bachelor of Science, Florida Atlantic University
Department of Civil Engineering​

Stanford University (Selected Courses)

• ​Statistical Learning (STATS 216)
• Energy Storage Integration (CEE 176C)
  
• Small Data (MS&E 226)
  
• Energy Efficient Buildings (CEE 176A)
  
• Statistical Inference (STATS 200)
  
• Data Mining & Analysis (STATS 202)
  
• Data Analytics for Urban Systems (CEE 322)
  
• SmartGrids & Advanced Power Systems Seminar (CEE 272T)
  
• ​Life Cycle Assessment for Complex Systems (CEE 226)

​Skills

Built Environment Software: Autodesk Revit, AutoCAD, Microstation, SimaPro, ArcGIS, BEopt, eQuest, EnergyPlus, OpenStudio, Energy Simulation, Energy Audits, Agi32 lighting analysis, WaterCAD, Primavera, & Pro-E

Programming and Data Science: Python, R, LaTeX, MATLAB, C++, Fortran, Stata, Github, Gitlab, SQL

Data Visualization & Editing: Tableau, Illustrator, Photoshop, Sketch, InVision, Lightroom

Operating Systems: Mac OS & Windows OS 

Other: Microsoft Office Suite, GSuite

Languages: English (Native), French (Professional Proficiency)

NCAA Division I (D-I) Intercollegiate, Golf