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Mingyao Li

Mingyao Li is a mathematics 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 Mingyao Li rather than just read about it. In short: Mingyao Li is a Chinese-American biostatistician and statistical geneticist known for her research on genetic factors related to heart disease, and as one of the creators of the ANNOVAR bioinformatics software tool. She is a professor of biostatistics in the Perelman School of Medicine at the University of Pennsylvania.

Key takeaways

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

Reference excerpt

Mingyao Li is a Chinese-American biostatistician and statistical geneticist known for her research on genetic factors related to heart disease, and as one of the creators of the ANNOVAR bioinformatics software tool. She is a professor of biostatistics in the Perelman School of Medicine at the University of Pennsylvania.

Education and career Li studied mathematics at Nankai University, earning a bachelor's degree in 1996 and master's degree in 1999. She earned a second master's degree in 2002 and completed a Ph.D. in biostatistics in 2005 at the University of Michigan, with the dissertation Statistical methods in gene mapping of complex diseases jointly advised by Michael Boehnke and Gonçalo Abecasis. After postdoctoral research at the University of Michigan, she joined the University of Pennsylvania faculty as an assistant professor of biostatistics in 2006, was tenured as an associate professor in 2012, and was promoted to full professor in 2017. In 2014 she added a secondary appointment in the university's Department of Computer and Information Science.

Recognition Li became an Elected Member of the International Statistical Institute in 2014 and a Fellow of the American Statistical Association in 2018. She was named to the 2021 class of Fellows of the American Association for the Advancement of Science.

References

External links Home page Mingyao Li publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Mingyao Li

Start with the simplest possible case. Write down what Mingyao Li claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Mingyao Li 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 Mingyao Li 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 Mingyao Li

In research
Mingyao Li appears in mathematics 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 Mingyao Li 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
Mingyao Li is common in secondary-school and first-year university syllabi. It links to neighbouring topics American geneticists, American statisticians, American women geneticists, so understanding it makes those chapters shorter.
In everyday life
Look for Mingyao Li 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 Mingyao Li in 20 minutes

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

Frequently asked questions

What is Mingyao Li in simple terms?

Mingyao Li is a Chinese-American biostatistician and statistical geneticist known for her research on genetic factors related to heart disease, and as one of the creators of the ANNOVAR bioinformatics software tool. She is a professor of biostatistics in the Perelman School of Medicine at the Unive…

Why does Mingyao Li matter?

Because it connects several mathematics 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 Mingyao Li?

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 Mingyao Li.

Tags

  • American geneticists
  • American statisticians
  • American women geneticists
  • Biostatisticians
  • Chinese statisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the American Statistical Association
  • Living people
  • Nankai University alumni
  • Perelman School of Medicine at the University of Pennsylvania faculty
  • University of Michigan alumni

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