Miscellaneous

Travel

As I embark on my journey as a PhD candidate, I look forward to attending conferences in various places and exploring more countries to further enrich my experiences. Below is a footprint of myself.

See My Traveling Albums

Aggregator

Here are some collections of useful open-source resources. Thanks for all the authors! Hope you will enjoy them. If you would like to add more materials to this part, feel free to reach out to me!

Ph.D. in OR/OM/ISE: From Zero Knowledge to Tenure Track

What’s OR/OM?

• Prof. Zizhuo Wang: FAQ for studying Operations Research
  
• Prof. Renyu Zhang: Video Introduction to Operation Research and Analytics
  
• INFORMS-Student-Union: FAQs About O.R. & Analytics
  

How to do research?

• Prof. Andrey Fradkin: A Guide To Using Corporate Data for Academic Research
  
• Prof. Richard Hamming: You and Your Research
  
• Prof. John Tsitsiklis: A Few Tips On Writing Papers With Mathematical Content
  
• Prof. Graham Cormode: How NOT to review a paper: the tools and techniques of the adversarial reviewer
  

What Kind of courses should I take with the aim of pursuing a Ph.D.?

• Prof. Anthony Lee Zhang Dr. Lingxuan Wu: What Math Classes Should I Take If I Want To Get An Econ/Fin PhD
  Claim: Original their link cannot be accessed so I use mine. If the authors inquire me to operate it, please let me know:)
• Prof. Ningyuan Chen: What Math Classes Should I Take If I Want To Get An OM or OR PhD
  

Ph.D. Application & Job Market

• Prof. Renyu Zhang: Something to Say about the Application (in Chinese)
  
• Prof. Anthony Lee Zhang: Tips About Social & Professional Norms In US Academia For International PhD Students
  
• Prof. Yichuan Ding: My Experience of Operations Management Faculty Position Application (in Chinese)
  
• Prof. Renyu Zhang: On the Operations Job Market: Reflections and Insights
  
• Prof. Nikhil Garg: Operations job market advice: a step-by-step guide
  
• Prof. Zenan Chen: IS jobs: A public crowdsourced database for job posts
  

Professor’s Lectures:

• Prof. Tim Roughgarden: Tim’s Online Courses, Tim’s Lecture Notes
  Prof. Tim provides a lot of courses in algorithms design, mechanism design.
• Prof. Jelani Nelson: CS170, Fall 2022 Youtube Video
  Prof. Tim provides a lot of courses in algorithms design, mechanism design.
• Prof. Zaiwen Wen: OPTbook (In Chinese), Databook (In Chinese)
  If you’re not comfortable when using English materials, then Prof. Wen’s Chinese version lecture notes may help you.
• Prof. Ramesh Johari: Lecture Notes
  In this page, Prof. Ramesh give lecture notes related “Data” (machine learning, casual inference), “Game Theory with Engineering Applications” and “Dynamics and Learning in Games”.
  
• Prof. Peng Ding: Casual Inference Resources
  In this page, Prof. Peng Ding shares lots of resources related to casual inferences including youtube courses, course materials and so on.
  
• Prof. Brady Neal: Introduction to Causal Inference
  
• Prof. Fan Li: STA640 Casual Inference
  
• Prof. Ryan Tibshirani: Statistical Machine Learning: Spring 2017 Video Link
  It needs to mention that Prof. Ryan gives records of all his past lectures and open source all the materials. His course STAT 153 Time Series in Berkeley is also great.
• Prof. Renyu Zhang: Artificial Intelligence for Business Research
  This aims to cultivate a foundational grasp of ML/AI principles relevant to business research, exploring their recent applications in addressing managerial issues and fostering an appreciation for the potential impacts of cutting-edge AI/ML innovations.
  
• Prof. Alexander Amini: MIT 6. S191: Deep Learning
  
• Prof. Bolei Zhou: Intro to Reinforcement Learning (in Chinese)
  This RL course introduces the basic knowledge of reinforcement learning. Slides are made in English and lectures are given in Mandarin.
• Prof. Hung-Yi Lee: Generative AI
  Prof. Hung-Yi Lee provides lots of excellent courses on his personal website including generative AI & ML & MLDS and so on.
• Dr. Andrej Karpathy: Youtube: AI
  Andrej is the founder and leading researcher in OpenAI. In his channel, he shares his own opinions and knowledge about Frontier AI.

Blogs Recommended

• Dr. Amira Hijazi: Resources for Graduate Students in OR/MS/ISE
  On this page, Dr. Amira Hijazi curates a selection of resources for OR/MS/ISE students, covering optimization knowledge, INFORMS Society guidance, academic website setup, and poster creation.
• Prof. Nick Arnosti: Blogs: A Model World
  On this page, Prof. Nick discusses market design, business operations, and sports, focusing on topics like information acquisition, lottery systems, and school choice.
• Prof. Christian Kroer: Blogs: Reading Material List & Conference Deadlines List
  On this page, Prof. Christian collected a list of books that he recommended for getting up to speed on the most common types of math and optimization. Meanwhile, it also kept track of the set of conference deadlines for the current and upcoming year.
• Prof. Al Roth: Market Design Blogs
  On this page, Prof. Alvin posted Market Design related papers and news. He also set up a page called “Game theory, experimental economics, and market design”, you may find another page through his personal website.
• Prof. Xiao Lei: Blogs: Operation Research in Daily Life (in Chinese)
  On this page, Professor Xiao presents many interesting topics and insights on how Operations Research and Operations Management (OR/OM) are applicable in our daily lives. It’s very intriguing, but all the content is in Chinese.
• Prof. Hanzhang Qin: Blogs: Optimizers’ Garden (in Chinese)
  On this page, Professor Qin give some notes and interesting stories about convex optmization, numerical mehtods, online learning knowledge and so on. Prof. Qin is really good at writing these things! But all the content is in Chinese.
• Prof. Torbjörn Netland: Better Operations
  This page is another blog aggregator set up by Prof. Torbjörn Netland. Here, you can find several OR/OM blogs, such as ‘Jay and Barry’s OM Blog’ created by Barry Render and Jay Heizer, ‘Global Supply Chain Blog’ created by the faculty at UCLA Anderson School, and others.
• Prof. Yinyu Ye: Talks Collection
  On this page, Prof. Ye gives a collection of his talks most recently, from 2020 to Now.
• Prof. Faidra Monachou: Fairness and Equity in Resource Allocation and Decision-Making: An Annotated Reading List
  On this page, Prof. Faidra overviewed a list of papers that point towards emerging directions in DEI.
• Dr. Yuzheng Sun: How to make data useful (in Chinese)
  As a data scientist, Dr. Sun make videos related to data science application in industry.
• Dr. Sarah H. Cen: Newsletter: Thoughts on AI Policy
  This blog explores the implications of AI & tech on society and policy making.
• Prof. Masayuki Kudamatsu: Tips For Economists
  On this Page, Prof. Masayuki gives suggestions about how to choose research topics, build therotical models and do empirical work.

Interesting Storys

• Prof. Will Ma: The Joy of Making Good Decisions
  On this page, Professor Will shares insights on how playing poker has enhanced his decision-making skills. He also offers detailed lectures on poker strategies, available on his YouTube channel and through MIT’s open source courses.
• Prof. Yinyu Ye: Yinyu Ye: Sports led me from the rice fields to Stanford
  On this page, Professor Ye shares the story of his sports life and its impact on his long-term academic journey.