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Hi there 👋

  • 🔭 I’m currently working on PhD thesis
  • 🌱 I’m currently learning causal machine learning
  • 👯 I’m looking to collaborate on developing a causal inference framework for building science
  • 🤔 I’m looking for help with software development
  • 💬 Ask me about building science / indoor environmental quality / building energy modeling / personalized thermal comfort
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: he/him/his
  • ⚡ Fun fact: Do you know how to pronounce my name? It's the same as Super Mario's brother.

Ruiji Sun's Projects

15688-data-science-project icon 15688-data-science-project

This is the group project for the 15-688 Data Science; the goal is togoal for this project is designed to descern the correlations among possible features that could affect the energy consumption. This work is collaborated with Zhonglin Cao, Ruiji Sun, Xin Shen.

cmu-15112 icon cmu-15112

This is a personal project for the 15-112 Fundamentals of Programming & Computer Science. The goal is to design a computer game with Leap Motion technology.

dowhy icon dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

itchat icon itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。

open-sustainable-technology icon open-sustainable-technology

Listing of worldwide open technology projects preserving a stable climate, energy supply and vital natural resources. Enjoy the website: https://opensustain.tech/

pecs-fw icon pecs-fw

A collection of the production firmware images for the PECS ensemble

pythermalcomfort icon pythermalcomfort

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.

python-causality-handbook icon python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

site icon site

Public website for the "Collaborative and Reproducible Data Science" course at UC Berkeley (Stat 159/259, Spring 2021 term).

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