Ali Habibnia
Director at Dataism Laboratory for Quantitative Finance (DLQF)
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolAli Habibnia is a director and assistant professor at Virginia Tech who unites rigorous statistical training from LSE with economics and quantitative finance to advance machine learning applications in economics and finance. With eight years of experience in academia and industry leadership at the Dataism Laboratory for Quantitative Finance, he focuses on computational modeling, data analytics, and empirical methods that bridge theory and real-world markets. His work combines PhD-level statistics, MSc training in quantitative finance, and dual appointments in CMDA and the Economics department to translate complex models into actionable insights. Based in Washington, D.C., he brings a rare mix of scholarly depth and practical quantitative leadership, often applying advanced probabilistic methods to policy-relevant economic questions.
8 years of coding experience
MSc, Economics, MSc, Economics at University of TehranLondon School of Economics and Political ScienceMSc, Quantitative Finance, MSc, Quantitative Finance at Bayes Business SchoolProgramming languages (1)
Github contributions (5)
AliHabibnia/ECON_5314G_Big_Data_Economics
Aug 2022 - Feb 2023
Contributions:21 commits, 69 pushes, 11 branches in 5 months
AliHabibnia/Machine-Learning-from-Theory-to-Practice
Oct 2022 - Jan 2023
Contributions:25 commits, 44 pushes, 18 branches in 3 months
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