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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
talks
teaching
Game theory
Undergraduate course, Peking University, 2020
I was the teaching assistant of the course Game theory during my undergraduate. The main instructor is Weiying Zhang.
Optimization in deep learning
Graduate course, Chinese University of Hong Kong Shenzhen, 2021
I was the teaching assistant of the course Optimization in deep learning when I was visiting the Chinese University of Hong Kong Shenzhen. I teach the discussion sessions. The main instructor is Ruoyu Sun.
IOE 691: Modern Bayesian statistics
Graduate course, University of Michigan, Department of Industrial and Operations Engineering, 2021
Guest lecturer of the course IOE 691: Modern Bayesian statistics. I teach two lectures: Variational inference and Bayesian deep learning. The main instructor is Raed Al Kontar.
IOE 202: Introductions to Operations Engineering
Undergraduate course, University of Michigan, Department of Industrial and Operations Engineering, 2023
I am the main instructor of the course IOE 202: Introductions to Operations Engineering. This is a core course for undergraduates in IOE.
IOE 570: Experimental Design
Graduate course, University of Michigan, Department of Industrial and Operations Engineering, 2024
Graduate student instructor of the course IOE 570: Experimental Design. The main instructor is Raed Al Kontar.