mathematics

Nina Holden

Nina Holden 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 Nina Holden rather than just read about it. In short: Nina Holden is a Norwegian mathematician interested in probability theory and stochastic processes, including graphons, random planar maps, the Schramm–Loewner evolution, and their applications to quantum gravity. She was a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich, and is currently an associate professor at the Courant Institute of Mathematical Sciences of New York University.

Key takeaways

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

Reference excerpt

Nina Holden is a Norwegian mathematician interested in probability theory and stochastic processes, including graphons, random planar maps, the Schramm–Loewner evolution, and their applications to quantum gravity. She was a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich, and is currently an associate professor at the Courant Institute of Mathematical Sciences of New York University.

Education As a student at Berg Upper Secondary School in Oslo, Norway, Holden became the first woman to win the Abel competition, Norway's national Mathematical Olympiad. She competed in 2005 in the International Mathematical Olympiad, where she earned an honorable mention with one of the two top scores on the Norwegian team. She became a student at the University of Oslo in Norway, where she earned a bachelor's degree in mathematics and computational science in 2008 and a master's degree in applied mathematics in 2010. While a student in Oslo, she also visited the University of Oxford from 2006 to 2007. After three years of work as an energy market analyst, she went to the Massachusetts Institute of Technology for graduate study, and completed her Ph.D. there in 2018. Her dissertation, Cardy embedding of random planar maps and a KPZ formula for mated trees, was supervised by Scott Sheffield.

Recognition In association with the 2021 Breakthrough Prizes, Holden was awarded one of three 2021 Maryam Mirzakhani New Frontiers Prizes, for early-career achievements by a woman mathematician. The citation reads: "for work in random geometry, particularly on Liouville Quantum Gravity as a scaling limit of random triangulations." The particular work refers to her joint work with Xin Sun on the convergence of uniform triangulations under a conformal embedding. The other two winners of the prize were Urmila Mahadev and Lisa Piccirillo. She received the 2022 Viggo Brun Prize of the Norwegian Mathematical Society, "for her exceptionally deep and broad contributions to probability theory, especially for her work on random surfaces and quantum gravity in two dimensions". In 2023, she was a recipient of the Rollo Davidson Prize, and in the following year, she was awarded the EMS Prize "for her profound contributions to probability theory and its applications to statistical physics, including results linking Liouville quantum gravity, the Schramm-Loewner evolution, and random triangulations". Holden was elected to the Norwegian Academy of Science and Letters in 2026.

Personal life Holden's mother, Marit Holden, is the Chief Research Scientist at the Norwegian Computing Center. Her father, Lars Holden, was its managing director from 2001 to 2022 and is the brother of Helge Holden.

References

External links Home page at CIMS NYU

Illustrations

Worked examples

Example 1 — a first encounter with Nina Holden

Start with the simplest possible case. Write down what Nina Holden 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 Nina Holden 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 Nina Holden 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 Nina Holden

In research: Nina Holden 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 Nina Holden 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: Nina Holden is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1980s births, 21st-century mathematicians, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Nina Holden 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 Nina Holden in 20 minutes

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

Frequently asked questions

What is Nina Holden in simple terms?

Why does Nina Holden 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 Nina Holden?

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 Nina Holden.