Donald Lacombe
Associate Professor
Lubbock, Texas, United States
Summary
👤
Senior🎓
Top SchoolDonald Lacombe is an Associate Professor in the School of Financial Planning at Texas Tech University with two decades of research expertise spanning spatial and Bayesian econometrics and hierarchical linear modeling. He has held faculty positions at Ohio University and West Virginia University, and his current work bridges econometric foundations with applied machine learning and deep learning for financial planning. With a Ph.D. in Economics from Florida State University, he combines rigorous quantitative methods with practical implications for financial decision-making. Notably, his shift toward ML/DL applications reflects a commitment to bringing modern predictive tools into a traditionally theory-driven field.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at Florida State UniversityBachelor's degree, Economics, Bachelor's degree, Economics at University of Florida
Github Skills (23)
classification8
clustering8
regression8
anomaly-detection7
nlp6
machine-code6
gpu6
machine-learning6
python6
optimization5
julia5
optimisation5
time-series5
data-science5
pycaret5
Programming languages (3)
Github contributions (5)
djlacombe/Spatial-Econometrics-with-Julia
Jan 2017 - Feb 2022
Contributions:5 pushes, 1 branch in 5 years 1 month
djlacombe/Maximum-Likelihood-with-Jax
Jul 2021 - Jan 2022
Contributions:6 commits, 5 pushes, 1 branch in 5 months
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