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chemistry

Michel Dumontier

Michel Dumontier is a chemistry 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 Michel Dumontier rather than just read about it. In short: Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine.

Key takeaways

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

Reference excerpt

Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine. He was previously an associate professor of medicine (Biomedical Informatics) at the Stanford University School of Medicine and an associate professor of bioinformatics at Carleton University. He is best known for his work in biomedical ontologies, linked data and biomedical knowledge discovery. He has taught courses on biochemistry, bioinformatics, computational systems biology, and translational medicine. His research has been funded by Natural Sciences and Engineering Research Council, Canada Foundation for Innovation, Mitacs Canada, the Ontario Ministry of Research, Innovation and Science, CANARIE, and the US National Institutes of Health. Dumontier has an h-index of over 30 and has authored over 125 scientific publications in journals and conferences. He lives in Maastricht with his wife Tifany Irene Leung and their lionhead rabbit Storm.

Biography Dumontier received his Bachelor of Science in biochemistry from the University of Manitoba in 1998. In his second year of undergraduate study, he joined the lab of James D. Jamieson where he developed a computational method to reconstruct the Golgi Apparatus. He then worked as research assistant at the Max Planck Institute of Biochemistry in Munich to investigate cellular dynamics of Rac1 protein of small GTPases. He defended his PhD in the department of biochemistry at the University of Toronto on the subject of "Species-specific optimizations of sequence and structure.". After a brief postdoctoral fellowship at the Blueprint Initiative, a project funded by Genome Canada and hosted in the Mount Sinai Hospital Research Institute, he joined the department of biology at Carleton University as an assistant professor in 2005. He was subsequently cross-appointed to the school of computer science and the Institute of Biochemistry and promoted to associate professor in 2009. In 2013, he joined the Stanford Center for Biomedical Informatics Research in the Stanford University School of Medicine. In 2017, he was appointed as a distinguished professor at Maastricht University in the Netherlands.

References

Worked examples

Example 1 — a first encounter with Michel Dumontier

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

In research
Michel Dumontier appears in chemistry 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 Michel Dumontier 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
Michel Dumontier is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1975 births, Canadian biochemists, Internet culture, so understanding it makes those chapters shorter.
In everyday life
Look for Michel Dumontier 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 Michel Dumontier in 20 minutes

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

Frequently asked questions

What is Michel Dumontier in simple terms?

Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine.

Why does Michel Dumontier matter?

Because it connects several chemistry 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 Michel Dumontier?

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 Michel Dumontier.

Tags

  • 1975 births
  • Canadian biochemists
  • Internet culture
  • Living people
  • University of Toronto alumni

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