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Tanja Kortemme

Tanja Kortemme is a engineering 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 Tanja Kortemme rather than just read about it. In short: Tanja Kortemme is a bioengineering professor at University of California, San Francisco. She has been recognized for outstanding contributions in computational protein design, including energy functions, sampling algorithms, and molecules to rewire cellular control circuits.

Key takeaways

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

Reference excerpt

Tanja Kortemme is a bioengineering professor at University of California, San Francisco. She has been recognized for outstanding contributions in computational protein design, including energy functions, sampling algorithms, and molecules to rewire cellular control circuits. She was an inaugural Chan Zuckerberg Biohub investigator and was inducted into American Institute for Medical and Biological Engineering College of Fellows.

Education Kortemme earned her Bachelor of Science in biochemistry at the University of Hannover before earning her diploma and doctorate in biochemistry. She then completed a postdoctoral fellowship in Heidelberg, and joined the University of Washington as a computation associate. After four years at the University of Washington, Kortemme accepted a job at the University of California, San Francisco.

Career Kortemme joined the University of California, San Francisco School of Pharmacy as an assistant professor in 2004. The following year, she was awarded the Sloan Research Fellowship by the Alfred P. Sloan Foundation. She later received the NSF Career Award in 2008. In 2011, Kortemme received funding to conduct further research on biosensors that detect and respond to small molecules inside cells. In 2017, she was named an inaugural Chan Zuckerberg Biohub investigator. In 2019, Kortemme was inducted into American Institute for Medical and Biological Engineering College of Fellows.

References

Worked examples

Example 1 — a first encounter with Tanja Kortemme

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

In research
Tanja Kortemme appears in engineering 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 Tanja Kortemme 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
Tanja Kortemme is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American engineers, 21st-century American women engineers, American bioengineers, so understanding it makes those chapters shorter.
In everyday life
Look for Tanja Kortemme 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 Tanja Kortemme in 20 minutes

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

Frequently asked questions

What is Tanja Kortemme in simple terms?

Tanja Kortemme is a bioengineering professor at University of California, San Francisco. She has been recognized for outstanding contributions in computational protein design, including energy functions, sampling algorithms, and molecules to rewire cellular control circuits.

Why does Tanja Kortemme matter?

Because it connects several engineering 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 Tanja Kortemme?

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 Tanja Kortemme.

Tags

  • 21st-century American engineers
  • 21st-century American women engineers
  • American bioengineers
  • Computational biologists
  • Fellows of the American Institute for Medical and Biological Engineering
  • German women scientists
  • Living people
  • University of California, San Francisco faculty
  • Women bioengineers
  • Women computational biologists

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