Ryan R. Rosario, Ph.D.

Data Scientist | Machine Learning Engineer | Lecturer | Consultant

At a Glance


Relevant Coursework

Statistics

  • 200ABC Theoretical Statistics
  • 201A Sampling and Experimental Design
  • 201B Generalized Linear Model
  • 201C Advanced Modeling/Bayesian Modeling
  • 202A Statistical Computing (taken as undergraduate)
    • Unix, Bash, Perl, Python, SQL, R
  • 202B Matrix Optimization
  • 202C Markov Chain Monte Carlo (Self-Studied)
  • M221 Time Series Analysis
  • M222 Spatial Statistics
  • M231 Machine Learning (taken as undergraduate)
  • 100ABC Probability, Mathematical Statistics and Linear Model
  • 120AB Statistical Modeling (now 101ABC)
    • GLM, LASSO, Ridge regression, GAM, CART, etc.
  • 130AB Statistical Computing with Stata and SAS
  • M154 Intro to Measurement/Psychometrics

Computer Science

  • 217A Internet Architecture and Protocols
  • 241A Object-Oriented and Semantic Database Systems
  • 246 Web Information Management
  • 249 Special Topics: Intro to Data Mining
  • 263A Natural Language Processing
  • 263B Connectionist Natural Language Processing (Neural Networks)
  • 263C Modeling with Animats (Swarm Intelligence and Evolutional Algorithms)
  • 269 Machine Learning Theory
  • 111 Operating Systems
  • 118 Networks (taken as an undergraduate)
  • 130 Software Engineering
  • 131 Programming Language Theory
  • 143 Database Systems
  • 144 Web Applications
  • 180 Algorithms and Complexity

Mathematics

  • 113 Combinatorics
  • 115AB Linear Algebra
  • 131AB Real Analysis
  • 132 Complex Analysis
  • 135AB Differential Equations
  • 151AB Numerical Analysis
  • 157 Scientific Computing (C++)

Other Relevant

  • Psychology 142H: Advanced Psychological Statistics