Hello! This is Jianing “Jed” Yang (杨佳宁). I am a Ph.D. student in Computer Science and Engineering at University of Michigan. I am a member of SLED lab, advised by Prof. Joyce Chai. I do research on Embodied AI, NLP and Robotics. I am interested in understanding natural language by grounding to robots and physical world, and using natural language as feedback to teach and improve embodied agent. My dream is to build and deploy household robots to homes around the world to help humans with daily tasks and needs.
Before joining UMich, I obtained my Master’s in Machine Learning from Carnegie Mellon University where I worked with Prof. Louis-Philippe Morency and Prof. Matt Gormley on Multimodal Natural Language Understanding, Dataset Bias Analysis, and Machine Learning. I got my Bachelor’s in Computer Science from Georgia Tech.
Before I delved fully into research, I had worked as a Software Development Engineer at Amazon Web Services, intern and full-time.
Ph.D. in Computer Science and Engineering, 2025 (expected)
University of Michigan
M.S. in Machine Learning, 2020
Carnegie Mellon University
B.S. in Computer Science, 2018
Georgia Institute of Technology
A curated list of awesome advice for computer science Ph.D. applicants.
Despite having a built-in threading module, Python cannot do real multi-threading because of its infamous Global Interpreter Lock (GIL) mechanism. Long story short, the GIL maintains a lock on the Python interpreter such that only one thread can use the interpreter at a time.
Led a load balancing project to decrease system latency from 20 seconds to milliseconds.
Received award for technical soundness and leadership at 2019 Q2 AWS Identity organization meeting.