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Mark A. O'Neill

Mark A. O'Neill is a biology 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 Mark A. O'Neill rather than just read about it. In short: Mark A. O'Neill is an English computational biologist with interests in artificial intelligence, systems biology, complex systems and image analysis.

Mark A. O'Neill — main illustration
Mark A. O'Neill — illustration

Key takeaways

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

Reference excerpt

Mark A. O'Neill is an English computational biologist with interests in artificial intelligence, systems biology, complex systems and image analysis. He is the creator and lead programmer on a number of computational projects including the Digital Automated Identification SYstem (DAISY) for automated species identification and PUPS P3, an organic computing environment for Linux.

Education O'Neill was educated at The King's School, Grantham, Sheffield University and University College London.

Research interests O'Neill's interests lie at the interface of biology and computing. He has worked in the areas of artificial life and biologically inspired computing. In particular, he has attempted to answer the question "can one create software agents which are capable of carrying a useful computational payload which respond to their environment with the flexibility of a living organism?" He has also investigated how computational methods may be used to analyze biological and quasi biological systems for example: ecosystems and economies. O'Neill is also interested in ethology, especially the emergent social ecosystems which occur as a result of social networking on the internet. His recent projects include the use of artificial intelligence techniques to look at complex socio-economic data. On the computer science front, O'Neill continues to develop and contribute to a number of other open source and commercial software projects and is involved in the design of cluster/parallel computer hardware via his company, Tumbling Dice Ltd. Long-running projects include DAISY; PUPS P3 an organic computing environment for Linux; Cryopid, a Linux process freezer; the [Mensor digital terrain model generation system]; and RanaVision, a vision based motion detection system. He has also worked with public domain agent based social interaction models such as Sugarscape and artificial life simulators, for example physis, which is a development of Tierra. O'Neill has been a keen naturalist since childhood. In addition to his interests in complex systems and computer science, he is a member of the Royal Entomological Society and an expert in the rearing and ecology of hawk moths. He is also currently convenor of the [Electronic and Computing Technology Special Interest Group] (SIG) for the Royal Entomological Society. He is also interested in the use of precision agriculture methodologies to monitor agri-ecosystems, and has been an active participant in a series of projects looking at the automatic tracking of bumblebees, and other insects using vision, and using both network analysis and remote sensing techniques to monitor ecosystem health. Latterly, he has become interested in applying these techniques in the commercial sphere to look at issues of corporate responsibility and sustainability in industries like mining and agriculture which have significant ecological footprints. He has also been involved in both computational neuroscience and systems biology, the former association resulting in many papers while working at Oxford University. Work in the latter area led to the successful flotation in 2007 of a systems biology company, e-Therapeutics, where O'Neill was a senior scientist, assisted with the establishment of the company, and was named in a number of seminal patents. O'Neill is a fellow of the British Computer Society, the Institute of Engineering and Technology, and the Royal Astronomical Society. He is also a chartered engineer, a chartered IT professional and a member of the Institute of Directors. He was one of the recipients of the BCS Award for Computing Technology in 1992.

Publications Mark A. O'Neill publications indexed by Google Scholar ORCID 0000-0002-7042-690X

References

External links Tumbling Dice e-Therapeutics

Illustrations

Mark A. O'Neill illustration

Worked examples

Example 1 — a first encounter with Mark A. O'Neill

Start with the simplest possible case. Write down what Mark A. O'Neill claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Mark A. O'Neill 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 Mark A. O'Neill 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 Mark A. O'Neill

In research
Mark A. O'Neill appears in biology 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 Mark A. O'Neill 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
Mark A. O'Neill is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, 20th-century English biologists, 21st-century English biologists, so understanding it makes those chapters shorter.
In everyday life
Look for Mark A. O'Neill 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 Mark A. O'Neill in 20 minutes

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

Frequently asked questions

What is Mark A. O'Neill in simple terms?

Mark A. O'Neill is an English computational biologist with interests in artificial intelligence, systems biology, complex systems and image analysis.

Why does Mark A. O'Neill matter?

Because it connects several biology 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 Mark A. O'Neill?

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 Mark A. O'Neill.

Tags

  • 1959 births
  • 20th-century English biologists
  • 21st-century English biologists
  • British artificial intelligence researchers
  • Computational biologists
  • English computer scientists
  • Fellows of the British Computer Society
  • Fellows of the Royal Astronomical Society
  • Fellows of the Royal Entomological Society
  • Living people
  • People educated at The King's School, Grantham
  • Systems biologists

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