engineering

Xin Guo

Xin Guo is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Xin Guo rather than just read about it. In short: Xin Guo is Chinese and American operations researcher, applied mathematician, and financial engineer. She is a professor at the University of California, Berkeley, where she chairs the Department of Industrial Engineering and Operations Research and holds the Coleman Fung Chair in Financial Modeling.

Key takeaways

Xin Guo belongs to engineering; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Xin Guo to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Xin Guo from memory before moving on to harder problems.

Reference excerpt

Xin Guo is Chinese and American operations researcher, applied mathematician, and financial engineer. She is a professor at the University of California, Berkeley, where she chairs the Department of Industrial Engineering and Operations Research and holds the Coleman Fung Chair in Financial Modeling. Her research applies probability theory, control theory, and mean-field game theory in financial modeling. Additional topics in her research include medical applications of machine learning, supply chain management, and logistics.

Education and career Guo received a bachelor's degree in mathematics from the University of Science and Technology of China in 1992. She earned a master's degree in mathematics from the Academia Sinica in 1995, and completed a Ph.D. in mathematics at Rutgers University in 1999. Her dissertation, Inside Information and Stock Fluctuations, was supervised by Lawrence Shepp. She became a postdoctoral researcher at the IBM Thomas J. Watson Research Center and, in 2000, a research staff member there. In 2003 she moved to Cornell University as an assistant professor of operations research and industrial engineering, earning tenure there as an associate professor in 2007. Meanwhile she had gone on leave from Cornell to move to the University of California, Berkeley, where she was promoted to associate professor again in 2008, and to full professor in 2014. She added an affiliation with the Precision Health Program, joint between Berkeley and the University of California, San Francisco, in 2021.

Book Guo is a coauthor of the book Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization (with T. L. Lai, H. Shek, and S. Won, Chapman and Hall, 2016; 2nd ed., 2018).

References

External links Home page Xin Guo publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Xin Guo

Start with the simplest possible case. Write down what Xin Guo claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Xin Guo before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Xin Guo ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Xin Guo

In research: Xin Guo appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Xin Guo in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Xin Guo is common in secondary-school and first-year university syllabi. It links to neighbouring topics American applied mathematicians, American economists, American industrial engineers, so understanding it makes those chapters shorter.
In everyday life: Look for Xin Guo outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Xin Guo in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Xin Guo means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Xin Guo out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Xin Guo in simple terms?

Why does Xin Guo matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Xin Guo?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Xin Guo.