I'm a Machine Learning Research Scientist at Meta Platforms Inc., where I work on recommender systems. I received my Ph.D. from Columbia University, where I studied with Professor Xiaofan Jiang. For my Ph.D. thesis, I studied energy footprinting and optimization in commercial buildings. I'm broadly interested in cyber-physical systems, robotics, and recommender systems.

Email	[email protected]
External Sites
Office	Park Tower, San Francisco

Projects

Visit my projects page here.

Work Experience

Meta Platforms
Menlo Park, CA
Machine Learning Research Scientist
August 2021 - Present

Facebook
Bellevue, WA
Software Engineering Intern
May 2020 - August 2020

Wish
San Francisco, CA
Data and Relevancy Engineering Intern
May 2019 - August 2019

Intelligent and Connected Systems Laboratory, Columbia University
New York, NY
Ph.D. Student
June 2016 - August 2021

The Robotics Institute, Carnegie Mellon University
Pittsburgh, PA
Graduate Research Assistant
January 2016 - May 2016

iRobot Corporation
Bedford, MA
Software Engineering Intern
June 2015 - August 2015

GRASP Laboratory, University of Pennsylvania
Philadelphia, PA
Undergraduate Research Assistant
June 2014 - August 2014

Publications

• Energy Footprinting and Human-Centric Building Co-Optimization with Multi-Task Deep Reinforcement Learning
  Peter Wei, Xiaofan Jiang
  Columbia University Thesis
• A Data-driven System for City-wide Energy Footprinting and Apportionment
  Peter Wei, Xiaofan Jiang
  ACM Transactions on Sensor Networks
• Intelligent Video Highlights Generation with Front-Camera Emotion Sensing
  Hugo Meyer, Peter Wei, Xiaofan Jiang
  Sensors
• Poster Abstract: Low-Cost Multi-Person Continuous Skin Temperature Sensing System for Fever Detection
  Peter Wei, Chenye Yang, Xiaofan Jiang
  ACM International Conference on Embedded Networked Sensor Systems 2020
• A Deep Reinforcement Learning Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings
  Peter Wei, Stephen Xia, Runfeng Chen, Jingyi Qian, Chong Li, Xiaofan Jiang
  IEEE Internet of Things Journal
• Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting
  Peter Wei, Xiaofan Jiang
  ACM International Conference on Systems for Built Environments 2019
  Best Paper Runner-Up
• City-Scale Vehicle Tracking and Traffic Flow Estimation using Low Frame-Rate Traffic Cameras
  Peter Wei, Haocong Shi, Jiaying Yang, Jingyi Qian, Yinan Ji, Xiaofan Jiang
  ACM Combining Physical and Data-Driven Knowledge in Ubiquitous Computing 2019
• A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings
  Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, Xiaofan Jiang
  ACM Transactions on Sensor Networks
• Poster Abstract: A Data-Driven System for City-Scale Personal Energy Footprint Estimations
  Peter Wei, Xiaofan Jiang
  ACM International Conference on Systems for Built Environments 2018
• Conductive Thread-Based Textile Sensor for Continuous Perspiration Level Monitoring
  Ji Jia, Chengtian Xu, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Pei Zhang, Xiaofan Jiang
  Sensors
• Energy Saving Recommendations and User Location Modeling in Commercial Buildings
  Peter Wei, Stephen Xia, Xiaofan Jiang
  ACM User Modeling, Adaptation, and Personalization 2018
• ePrints: A Real-Time and Scalable System for Fair Apportionment and Tracking of Personal Energy Footprints in Commercial Buildings
  Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, Xiaofan Jiang
  ACM International Conference on Systems for Built Environments 2017
  Best Paper Runner-Up
• Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings
  Peter Wei, Xiaoqi Chen, Rishikanth Chandrasekaran, Fengyi Song, Xiaofan Jiang
  ACM International Conference on Systems for Built Environments 2016
  Best Poster Award
• Dynamic and Probabilistic Estimation of Unknown Obstacles for Indoor Robotic Navigation
  Christopher Clingerman, Peter Wei, Daniel D. Lee
  IEEE International Conference on Intelligent Robots and Systems 2015
• THiMED: Time in Hierarchical Model Extraction and Design
  Natasa Miskov-Zivanov, Peter Wei, Clement Loh
  Computational Methods in Systems Biology 2014

Teaching Experience

Teaching Assistant

• Columbia University
  • E6765 Internet of Things- System and Physical Data Analysis, Spring 2019
  • E6765 Internet of Things- System and Physical Data Analysis, Spring 2018

• Carnegie Mellon University
  • 18-100 Introduction to Electrical and Computer Engineering, Spring 2016
  • 18-290 Signals and Systems, Fall 2015
  • 15-122 Principles of Imperative Computation, Fall 2013
  • 15-122 Principles of Imperative Computation, Summer 2013
  • 18-100 Introduction to Electrical and Computer Engineering, Fall 2012