Mojtaba E.

WORK HISTORY

EDUCATION

ABOUT MOJTABA E.

My interests include topics in machine learning, optimization, recommender systems, micro- econometrics, game theory, causal inference, algorithmic pricing, and experimental design. I use methods and models from theoretical computer science, economics, statistics, and related disciplines to examine problems in the tech areas. I have a strong focus on statistical techniques and often participate in empirical and experimental projects, such as ML-based econometrics, causal inference, and experiments on strategic and economic interactions in complex networks. I am particularly interested in merging causal inference methods in observational studies, predictive machine learning algorithms, and in A/B testing on online platforms. Current Interests:Matrix Completion Algorithms Experimentation & ML-based A/B testingCausal/counterfactual estimationAlgorithmic Econ.Statistical machine learningOnline marketplaces & platforms Recommender enginesRanking algorithmsAlgorithmic pricingProgrammatic adsOnline auctions, & Structural estimationWorking knowledge of:• Theoretical modeling• Predictive techniques, classifier systems, & ML algorithms• Causal inference methods: IV, regression discontinuity, kinked design, bunching & notching, diff-in-diff, demand estimation, discrete choice model, dynamic programming, survival analysis, DAGs, synthetic controls, propensity scores, DML, Causal Forest, LATE, MTE, HTE (CATE, GATE, RATE.)• RCT, A/B/n testing, Power analysis, SRM, interference issues• Time series: Fourier transformation, signal processing, Kalman filtering, SARIMA, & GARCH, VAR, Cointegration, Unit-root, AIC & BIC criteria. • Python (Numpy, Scipy, Pandas, Matplotlib, Networkx, Scikitlearn,), SQL, MATLAB, STATA, LaTeX, Airflow, Bitbucket and Git version control, familiar with Linux & Bash scripting on HPC• Big Data: PySpark, Hadoop, BigQuery• Complex networks & spectral graph theory• Game theory, mechanism design, & auctions• Mathematics, convex & nonlinear optimization, Heuristics methods, statistics, Bayesian learning & reinforcement learningHobbies: I enjoy reading scientific articles mainly on technology, social psychology, behavioral economics, cognitive science, even on quantum gravity! I love playing Chess, Backgammon, Go, and card games like Bridge, Hokm, and Spade. I am an avid fan of donghua, anime and hanguk aeni! I love nature, but I strive to respect it by minimizing my impact. To that end, I try to stay within city limits as much as possible and avoid disturbing wildlife. More! I am on X @ mozh7es