mathematics

Michael Shelley (mathematician)

Michael Shelley (mathematician) 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 Michael Shelley (mathematician) rather than just read about it. In short: Michael J. Shelley (born August 17, 1959) is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology.

Key takeaways

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

Reference excerpt

Michael J. Shelley (born August 17, 1959) is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology. This has included free-boundary problems in fluids and materials science, singularity formation in partial differential equations, modeling visual perception in the primary visual cortex, dynamics of complex and active fluids, cellular biophysics, and fluid-structure interaction problems such as the flapping of flags, stream-lining in nature, and flapping flight. He is also the co-founder and co-director of the Courant Institute's Applied Mathematics Lab. Shelley was born in La Junta, Colorado. He holds a BA in mathematics from the University of Colorado (1981) and a PhD in Applied Mathematics from the University of Arizona (1985). He was a postdoctoral researcher at Princeton University, and then joined the faculty of mathematics at the University of Chicago. In 1992 he joined the Courant Institute of Mathematical Sciences at New York University where he is the George and Lilian Lyttle Professor of Applied Mathematics as well as Professor of Neuroscience (NYU) and Professor of Mechanical Engineering (NYU-Tandon). In 2016 he also became a senior research scientist and group leader in biophysical modeling at the Center for Computational Biology (CCB) of the Flatiron Institute, a division of the Simons Foundation. In 2019 he was appointed Director of CCB.

Honors 1983 NASA Computational Fluid Dynamics Fellowship 1989 National Science Foundation Mathematical Sciences Postdoctoral Fellowship 1991 National Science Foundation Presidential Young Investigator 1998 Francois Frenkiel Award of the American Physical Society 2001 Distinguished Chair of the Pacific Institute of Mathematical Sciences 2006 The Richard C. DiPrima Lecture, Rensselaer Polytechnic Institute 2006 Julian Cole Lectureship, Society of Industrial and Applied Mathematics 2007 Appointed the Lilian and George Lyttle Professor of Applied Mathematics, Courant Institute of Mathematical Sciences, NYU 2007 Elected Fellow of the American Physical Society 2009 Inaugural Fellow of the Society of Industrial and Applied Mathematics 2012 The Librescu Memorial Lecture, Virginia Tech College of Engineering 2014 The Pelz Memorial Lecture, Rutgers University, Mechanical Engineering 2015 The AMSI-ANZIAM Lecturer, Australia 2015 Plenary Speaker, National Meeting of the Australian Mathematical Society 2017 The Reiss Memorial Lectures, University of Delaware 2019 Elected Fellow of the American Academy of Arts and Sciences 2022 Elected Member of the National Academy of Sciences

References

External links Michael Shelley at the Mathematics Genealogy Project

Worked examples

Example 1 — a first encounter with Michael Shelley (mathematician)

Start with the simplest possible case. Write down what Michael Shelley (mathematician) 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 Michael Shelley (mathematician) 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 Michael Shelley (mathematician) 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 Michael Shelley (mathematician)

In research: Michael Shelley (mathematician) 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 Michael Shelley (mathematician) 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: Michael Shelley (mathematician) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, 20th-century American mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Michael Shelley (mathematician) 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 Michael Shelley (mathematician) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Michael Shelley (mathematician) 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 Michael Shelley (mathematician) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Michael Shelley (mathematician) in simple terms?

Michael J. Shelley (born August 17, 1959) is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology.

Why does Michael Shelley (mathematician) 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 Michael Shelley (mathematician)?

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 Michael Shelley (mathematician).