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Michael Eisen

Michael Eisen 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 Michael Eisen rather than just read about it. In short: Michael Bruce Eisen (born April 13, 1967) is an American computational biologist and the former editor-in-chief of the journal eLife. He is a professor of genetics, genomics and development at University of California, Berkeley.

Michael Eisen — main illustration
Michael Eisen — illustration

Key takeaways

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

Reference excerpt

Michael Bruce Eisen (born April 13, 1967) is an American computational biologist and the former editor-in-chief of the journal eLife. He is a professor of genetics, genomics and development at University of California, Berkeley. He is a leading advocate of open access scientific publishing and is co-founder of Public Library of Science (PLOS). In 2018, Eisen announced his candidacy U.S. Senate from California as an Independent, though he failed to qualify for the ballot.

Early life and education Born in Boston, Eisen and his brother Jonathan were raised in a family of scientists. Their grandfather was an x-ray crystallographer, their father, Howard Eisen a physician, and mother, Laura a biochemist. They moved to Bethesda, Maryland when Eisen was four or five years old. The brothers spent summers in Long Island with their grandparents. Eisen states that he loved frogs and salamanders '"Even more than I have a frog fetish, I have a swamp fetish. I really like being in swamps."' He was also very interested in math and was captain of the high school math team. Eisen graduated from Walt Whitman High School in 1985. Intending to major in mathematics at Harvard University, he realized that there [he may encounter] other more brilliant math students, it was a Good Will Hunting moment and he decided that he did not want to major in mathematics, '"You don't want to be Salieri to Mozart."' During his years at Harvard, Eisen worked on "unlocking the three-dimensional structures of proteins." He was shown a DNA microarray which taught him a '"new way of doing biology"'. Eisen completed his PhD at Harvard University in biophysics and a B.S. (also from Harvard) in Math. He was under the supervision of Don Craig Wiley while studying Influenza A virus Proteins.

There are things that are really really difficult, those are the kinds of problems you do want to work on. It's not that easy to tell the difference between impossible problems and a problem that is really really difficult. But learning to do so is critically important. - Things I learned from working with Pat Brown (Patrick O. Brown) - 2015 After earning his doctorate, Eisen was a Postdoctoral Fellow at Stanford University in the lab of David Botstein, where he most notably developed a method for interpreting gene expression data from microarrays. The seminal research publication that Eisen authored about this project has been cited over 16,000 times.

Baseball and biology When Eisen lived in Tennessee he worked as a play-by-play announcer for a minor league baseball team, the Columbia Mules. He is a self-proclaimed Red Sox fanatic. He and computational biologist James Fraser recorded a video for iBiology about the role baseball statistics influenced their research. Their argument is that sequencing DNA is similar to scoring a baseball game, and that many computational biologists learned to think about science computations from an obsessive interest in baseball stats. The exercise of comparing a specific player's stats to a database of other similar players allows a baseball fan to predict future performance. This same system works with proteins and predicting functions. As tools are developed that break down and track all stats concerning baseball players, so will technology improve with genetics. With both baseball and genetics, tools are being developed that refine the models. In a lecture in 2015, Eisen stated that he received a computer from his grandfather for his twelfth birthday and spent the next five years teaching himself how to program so that he could keep track of baseball stats.

Research His academic research focuses on the evolution of gene regulation. Despite this focus, Eisen's work has historically spanned very diverse disciplines. For example, his 5 most cited papers cover a broad range of topics including methods for hierarchical clustering, applications to human breast cancers (with David Botstein and Charles Perou), and discovery of tumor subtypes in diffuse large B cell lymphoma (with Ash Alizadeh and Louis Staudt). His more recent research work has been on fruit flies and Drosophila and how they "develop from a tiny single-celled egg to a mature adult. He says they hold insights into what goes wrong in people as they age." He receives funding from the Howard Hughes Medical Institute for his research.

2018 U.S. Senate race

Eisen announced through Twitter on January 25 his intent to run for U.S. Senate from California in 2018 for Democratic Senator Dianne Feinstein's seat, registering the Twitter handle SenatorPhD. His campaign slogan was "Liberty, Equality, Reality". Eisen's reasons for running for Congress included his perception that the Trump administration was unresponsive to climate change and other science-related issues. Another reason Eisen decided to run was his experience watching Cabinet appointees being interviewed by the Senate about climate change. He thought '“It would be really nice to have scientists ask the questions of the Cabinet appointees, because the senators don’t seem to understand the issue and aren’t asking the right questions.”' He feels that if science is to be on the forefront of policy making, '"scientists need to run for office."' He felt that 2018's California jungle primaries afforded him a better chance at making the final two for the general election, but he did not make the final two (which were Dianne Feinstein and Kevin de León).

For a really long time, scientists have watched political processes erode — and have watched politicians openly deride science, dismissing the role that science plays in our everyday life. Scientists have been sitting here hoping that someone would come along and defend those principals. Politics, in my mind, should function similar to science. We should try to figure out what’s going on in the world and then debate the best way to do it, to make the world better. The best tools we have to characterize reality are the observational tools that science uses all the time. Too much of politics has rejected that basic principle that scientists live and breathe all the time. Eisen dropped out of the race when he failed to qualify for the June 2018 primary ballot.

… excerpt ends here. Continue reading the full article.

Illustrations

Michael Eisen illustration

Worked examples

Example 1 — a first encounter with Michael Eisen

Start with the simplest possible case. Write down what Michael Eisen 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 Michael Eisen 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 Michael Eisen 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 Michael Eisen

In research
Michael Eisen 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 Michael Eisen 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
Michael Eisen is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1967 births, 21st-century American biologists, American bioinformaticians, so understanding it makes those chapters shorter.
In everyday life
Look for Michael Eisen 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 Michael Eisen in 20 minutes

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

Frequently asked questions

What is Michael Eisen in simple terms?

Michael Bruce Eisen (born April 13, 1967) is an American computational biologist and the former editor-in-chief of the journal eLife. He is a professor of genetics, genomics and development at University of California, Berkeley.

Why does Michael Eisen 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 Michael Eisen?

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 Michael Eisen.

Tags

  • 1967 births
  • 21st-century American biologists
  • American bioinformaticians
  • American founders
  • American scientists
  • Candidates in the 2018 United States Senate elections
  • Harvard College alumni
  • Harvard Graduate School of Arts and Sciences alumni
  • Howard Hughes Medical Investigators
  • Living people
  • PLOS people
  • Recipients of the Presidential Early Career Award for Scientists and Engineers

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