computer science

Lise Getoor

Lise Getoor is a computer science 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 Lise Getoor rather than just read about it. In short: Lise Getoor is an American computer scientist who is a distinguished professor and Baskin Endowed chair in the Computer Science and Engineering department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and stru…

Key takeaways

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

Reference excerpt

Lise Getoor is an American computer scientist who is a distinguished professor and Baskin Endowed chair in the Computer Science and Engineering department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor. She received her Ph.D. from Stanford University, her M.S. from UC Berkeley, and her B.S. from UC Santa Barbara. Prior to joining University of California, Santa Cruz, she was a professor at the University of Maryland, College Park until November 2013.

Recognition Getoor has multiple best paper awards, an NSF Career Award, and is an Association for the Advancement of Artificial Intelligence (AAAI) Fellow. In 2019, she was elected as an ACM Fellow "for contributions to machine learning, reasoning under uncertainty, and responsible data science",

was selected as a Distinguished Alumna of the UC Santa Barbara Computer Science Department,

was awarded the UCSC WiSE Chancellor's Achievement Award for Diversity,

and was selected to give the UC Santa Cruz Faculty Research Lecture 2018-19, one of the highest recognitions given to UC faculty. She was named an IEEE Fellow in 2021, "for contributions to machine learning and reasoning under uncertainty". In October 2022, Getoor was elected a Fellow of the American Association for the Advancement of Science (AAAS). In 2024, she was named a Fellow of the American Academy of Arts and Sciences (AAA&S). Also in 2024, she received the ACM SIGKDD Innovation Award recognizing individuals with outstanding technical innovations in the field of Knowledge Discovery and Data Mining that have had a lasting impact in advancing the theory and practice of the field.

Personal life Getoor's father was mathematician Ronald Getoor (1929–2017).

References

Illustrations

Worked examples

Example 1 — a first encounter with Lise Getoor

Start with the simplest possible case. Write down what Lise Getoor claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Lise Getoor 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 Lise Getoor 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 Lise Getoor

In research: Lise Getoor appears in computer science 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 Lise Getoor 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: Lise Getoor is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American women, American artificial intelligence researchers, American computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Lise Getoor 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 Lise Getoor in 20 minutes

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

Frequently asked questions

What is Lise Getoor in simple terms?

Why does Lise Getoor matter?

Because it connects several computer science 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 Lise Getoor?

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 Lise Getoor.