science

Ron Pinter

Ron Pinter is a 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 Ron Pinter rather than just read about it. In short: Ron Yair Pinter (Hebrew: רון יאיר פינטר) is an Israeli computer scientist specializing in computational systems biology, integrated circuit layout and compiler optimization. He is professor of computer science and the Rappaport Medical School at the Technion in Haifa, Israel.

Key takeaways

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

Reference excerpt

Ron Yair Pinter (Hebrew: רון יאיר פינטר) is an Israeli computer scientist specializing in computational systems biology, integrated circuit layout and compiler optimization. He is professor of computer science and the Rappaport Medical School at the Technion in Haifa, Israel. He was a founding member of the Israeli Society for Bioinformatics and Computational Biology. In the past, he has been a program manager at the IBM Haifa Research Laboratory and a member of the IBM Academy of Technology, and Vice President for Research and Development at Compugen. His contributions include defining (with Ido Dagan and Martin Golumbic) the notion of trapezoid graphs, and pioneering analysis of biological networks.

Biography Pinter was born in Haifa, Israel in 1953 to parents of German Jewish descent both refugees from Nazi Germany in the 1930s. After finishing at the top of his class in the Hebrew Reali School class of 1971, he obtained a B.Sc., summa cum laude, in computer science from the Technion in the first class which started the program in 1975. At the Technion he met his wife, Shlomit, also a computer scientist. The two have co-authored several papers in the field during the 1990s. He then went on to pursue graduate studies at the Massachusetts Institute of Technology (MIT), obtaining a M.S. in 1980 and a Ph.D. in 1982, both in EECS. His advisors were Charles Leiserson and Ron Rivest. Before turning his focus to bioinformatics, Pinter most notably co-defined the notion of trapezoid graphs and made significant contributions to the field of Integrated Circuit design. After several years as VP for R&D at Compugen he joined the Technion in 2001 and has been a faculty member there since. During this time he has important contributions to the discrete modeling and analysis of biological networks, providing insights about their functionality in spite of the relatively simple and highly efficient computational techniques. In addition, he contributed to the discovery of Photosynthesic reactions in viruses.

References

External links Personal home page Page on the Technion's site HP Labs Innovation Research Award recipient

Illustrations

Worked examples

Example 1 — a first encounter with Ron Pinter

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

In research: Ron Pinter appears in 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 Ron Pinter 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: Ron Pinter is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1953 births, Academic staff of Technion – Israel Institute of Technology, Hebrew Reali School alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Ron Pinter 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 Ron Pinter in 20 minutes

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

Frequently asked questions

What is Ron Pinter in simple terms?

Why does Ron Pinter matter?

Because it connects several 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 Ron Pinter?

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 Ron Pinter.