Milad Kharratzadeh Email & Phone Number

Montreal, Canada Area

Developing statistical models and Machine Learning algorithms to analyze financial data

New York City

- Joint appointment at the Data Science Institute and the Earth Institute- Bayesian data analysis and causal inference in Stan- Developing new statistical methods and hierarchical Bayesian models for analyzing social, environmental, and health data

Montreal, Canada Area

- Theoretical and applied research in Machine Learning, Statistics, and Cognitive Science- Multivariate Statistics: sparse multivariate regression; dimensionality reduction; factor regression; sparse principal component analysis and canonical correlation analysis- Time Series Analysis (with applications in Finance): autoregressive models.

London, United Kingdom

- Statistical modeling of financial data: time series analysis, hypothesis testing, correlation and regression analysis, causality tests.

Vancouver, Canada Area

- Collaborating with Environment Canada: Utilizing Big Data management and processing tools such as Apache Hadoop, Apache Pig, and Google Compute Engine to analyse statistical relations between surface water quality and quantity measurements.

Tehran, Iran

- Sparse recovery algorithms and applications to direction-of-arrival estimation.

Doctor Of Philosophy (Phd), Electrical And Computer Engineering

Machine Learning; Statistics; Cognitive Science

Machine Learning

Attended the ML summer school where world-renowned lecturers taught a wide range of topics in Machine Learning including Probabilistic.

Master'S Degree, Electrical And Computer Engineering

Machine Learning; Social Media Analysis

Bachelor'S Degree, Electrical Engineering

Research on sparse component analysis and compressive sensing problems.