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Teresa Przytycka

Teresa Przytycka 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 Teresa Przytycka rather than just read about it. In short: Teresa Maria Przytycka (born 1958) is a Polish-American computational biologist who works as a senior investigator in the Computational Biology Branch of the National Center for Biotechnology Information (NCBI), where she heads the Algorithmic Methods in Computational and Systems Biology (AlgoCSB) section. She started her research career in parallel algorithms; at the NCBI, her research takes a computational approac…

Teresa Przytycka — main illustration
Teresa Przytycka — illustration

Key takeaways

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

Reference excerpt

Teresa Maria Przytycka (born 1958) is a Polish-American computational biologist who works as a senior investigator in the Computational Biology Branch of the National Center for Biotechnology Information (NCBI), where she heads the Algorithmic Methods in Computational and Systems Biology (AlgoCSB) section. She started her research career in parallel algorithms; at the NCBI, her research takes a computational approach to problems in systems biology involving cancer, gene regulation, and the analysis of massive data.

Education and career Przytycka is originally from Myszków; her parents, native of the village Gorajec in eastern Poland, were well-educated in part through the Polish underground education. She studied mathematics and computer science at the University of Warsaw, earning a master's degree there in 1982. She stayed at the university as a researcher, but took leave to become a doctoral student at the University of British Columbia (UBC), following her husband, Józef H. Przytycki, who had taken a postdoctoral position there; she completed her Ph.D. at UBC in 1990. Her dissertation, Parallel Algorithms On Trees And Related Problems, concerned parallel algorithm design, and was supervised by David G. Kirkpatrick. Although originally intending to return to her position at the University of Warsaw, that became impracticable because of her two new children and the lack of adequate childcare in Warsaw at that time. After a visiting assistant professorship at the University of California, Riverside, she became an assistant professor at Odense University in Denmark in 1992, living for much of this time separately from her husband because of their two-body problem. In the mid-1990s, her husband was tenured at George Washington University on the US east coast, and she determined to find positions nearby, at the same time shifting her research interests to computational biology. In 1997 she became a Sloan-DOE research fellow at the Johns Hopkins School of Medicine, where she continued as a Burroughs Wellcome Fellow and research associate. In 2003 she took her present position at the National Center for Biotechnology Information.

Recognition In 2021 Przytycka was named a Fellow of the International Society for Computational Biology, "for her fundamental algorithmic contributions to a wide range of problems in computational systems biology, especially in network analysis, network-based approaches to uncover disease genes, network reconstruction, regulatory roles of DNA conformation dynamics and RNA aptamer analysis".

References

External links

Home page Teresa Przytycka publications indexed by Google Scholar

Illustrations

Teresa Przytycka: Teresa Przytycka in 2016
Teresa Przytycka in 2016

Worked examples

Example 1 — a first encounter with Teresa Przytycka

Start with the simplest possible case. Write down what Teresa Przytycka 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 Teresa Przytycka 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 Teresa Przytycka 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 Teresa Przytycka

In research
Teresa Przytycka 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 Teresa Przytycka 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
Teresa Przytycka is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1958 births, Academic staff of Odense University, American computer scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Teresa Przytycka 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 Teresa Przytycka in 20 minutes

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

Frequently asked questions

What is Teresa Przytycka in simple terms?

Teresa Maria Przytycka (born 1958) is a Polish-American computational biologist who works as a senior investigator in the Computational Biology Branch of the National Center for Biotechnology Information (NCBI), where she heads the Algorithmic Methods in Computational and Systems Biology (AlgoCSB)…

Why does Teresa Przytycka 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 Teresa Przytycka?

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 Teresa Przytycka.

Tags

  • 1958 births
  • Academic staff of Odense University
  • American computer scientists
  • American women computer scientists
  • Computational biologists
  • Living people
  • People from Myszków County
  • Polish computer scientists
  • Polish women computer scientists
  • University of British Columbia alumni
  • University of Warsaw alumni
  • Women computational biologists

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