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computer science

Su-In Lee

Su-In Lee 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 Su-In Lee rather than just read about it. In short: Su-In Lee (Korean: 이수인; born 1979) is a South Korean and American computer scientist known for her research on explainable artificial intelligence and its applications in biomedical research. She is a Boeing Endowed Professor of Computer Science in the Paul G.

Key takeaways

  • Su-In Lee 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 Su-In Lee to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Su-In Lee from memory before moving on to harder problems.

Reference excerpt

Su-In Lee (Korean: 이수인; born 1979) is a South Korean and American computer scientist known for her research on explainable artificial intelligence and its applications in biomedical research. She is a Boeing Endowed Professor of Computer Science in the Paul G. Allen School of Computer Science and Engineering at the University of Washington.

Education and Career Lee was born in Busan in 1979. She became a student at Seoul Science High School, and earned a bachelor's degree in electrical engineering and computer science from KAIST in 2001. She went to Stanford University for graduate study in computer science, and completed her Ph.D. in 2009 in the Stanford Artificial Intelligence Laboratory with the dissertation Machine learning approaches to understand the genetic basis for complex traits supervised by Daphne Koller. After postdoctoral research as a visiting assistant professor at Carnegie Mellon University, Lee joined the University of Washington in 2010. She was given a Paul G. Allen Career Development Professorship in 2021, and was named as a Boeing Endowed Professor of Computer Science in 2025.

Recognition Lee was the 2024 laureate of the Ho-Am Prize in Engineering, and the 2024 recipient of the ISCB Innovator Award of the International Society for Computational Biology. She was named as a Fellow of the American Institute for Medical and Biological Engineering in 2024, "for development of foundational AI principles and techniques to catalyze biomedical discoveries and insights and advance human health", and as a Fellow of the International Society for Computational Biology in 2025.

References

External links AI for bioMedical Sciences (AIMS) Lab Su-In Lee publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Su-In Lee

Start with the simplest possible case. Write down what Su-In Lee 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 Su-In Lee 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 Su-In Lee 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 Su-In Lee

In research
Su-In Lee 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 Su-In Lee 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
Su-In Lee is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1979 births, 2018 FIFA U-17 Women's World Cup players, American bioinformaticians, so understanding it makes those chapters shorter.
In everyday life
Look for Su-In Lee 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 Su-In Lee in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Su-In Lee 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 Su-In Lee out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Su-In Lee in simple terms?

Su-In Lee (Korean: 이수인; born 1979) is a South Korean and American computer scientist known for her research on explainable artificial intelligence and its applications in biomedical research. She is a Boeing Endowed Professor of Computer Science in the Paul G.

Why does Su-In Lee 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 Su-In Lee?

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 Su-In Lee.

Tags

  • 1979 births
  • 2018 FIFA U-17 Women's World Cup players
  • American bioinformaticians
  • American computer scientists
  • American women computer scientists
  • Fellows of the American Institute for Medical and Biological Engineering
  • Fellows of the International Society for Computational Biology
  • KAIST alumni
  • Living people
  • People from Busan
  • Recipients of the Ho-Am Prize in Engineering
  • South Korean computer scientists

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