jayrcausal

Essential3CRL

Research about Causality-based Reinforcement Learning. This repository includes all needed fundamentals, summary of past work and some most recent development

Leetcode_practice

Daily leetcode practice

Causal-MDIM

Research project collaborated with University of Texas at Arlington.

Causal_genomics

Causal_StructuralLearn-DAGs

This is a study program for people who gain sufficient familiarity with another famous framework-Potential Outcomes proposed by Rubin and who want to investigate causal world in another point of view. We will introduce DAGs framework by examing a new survey article.

Courses

Course Materials I taught/TA-ed/led at NYU. Courses are primarily about various topics of Statistics.

DSUA_201

A site collecting lab materials and practice for my course DS-UA 201 Causal Inference offerred in the Fall 2023

jayrcausal.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

jayrcausal_expired.github.io

A simple and elegant Jekyll theme for an academic personal homepage

NYU-Course-Notes-and-Resources

NYU Course Notes & Resources

pyspark-playground

Workflow of Data Engineer on a standalone cluster through Spark and other batch process

Projects

Workspace for the projects in Causal Inference and Causal Reinforcement Learning