biology

Jeff Hammerbacher

Jeff Hammerbacher 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 Jeff Hammerbacher rather than just read about it. In short: Jeff Hammerbacher (born 1982 or 1983) is an American data scientist. He was chief scientist and cofounder at Cloudera and later served on the faculty of the Icahn School of Medicine at Mount Sinai.

Key takeaways

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

Reference excerpt

Jeff Hammerbacher (born 1982 or 1983) is an American data scientist. He was chief scientist and cofounder at Cloudera and later served on the faculty of the Icahn School of Medicine at Mount Sinai.

Early life Hammerbacher was born in 1982 or 1983. He grew up in Fort Wayne, Indiana. His father worked at the General Motors plant and his mother was a nurse. From an early age he had an interest in numbers. He studied math at Harvard University, where he became acquainted with Facebook cofounder Mark Zuckerberg. He took a year off during college and worked a variety of jobs, including stints at a bookstore and the GM assembly line alongside his father.

Career After graduation, Hammerbacher joined Bear Stearns as a quantitative analyst, working there for less than a year. In April 2006, he joined Facebook where he led the data team before leaving the company in 2008. Hammerbacher was an entrepreneur in residence at Accel Partners immediately prior to cofounding Cloudera in 2008 where he was the chief scientist. Hammerbacher has been featured for his work in Forbes, Fast Company, MIT Technology Review, Harvard Business Review, NY Times, Bloomberg BusinessWeek and others.

Personal life Hammerbacher is married to the entrepreneur Halle Tecco. They jointly run an angel fund named Techammer. They have a son.

Selected publications Segaran, Toby; Hammerbacher, Jeff (2009). Beautiful Data: the stories behind elegant data solutions (First ed.). Sebastopol, California: O'Reilly. ISBN 9780596157111. OCLC 827947721.

References

Worked examples

Example 1 — a first encounter with Jeff Hammerbacher

Start with the simplest possible case. Write down what Jeff Hammerbacher 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 Jeff Hammerbacher 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 Jeff Hammerbacher 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 Jeff Hammerbacher

In research: Jeff Hammerbacher 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 Jeff Hammerbacher 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: Jeff Hammerbacher is common in secondary-school and first-year university syllabi. It links to neighbouring topics American company founders, American data scientists, American scientist stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Jeff Hammerbacher 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 Jeff Hammerbacher in 20 minutes

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

Frequently asked questions

What is Jeff Hammerbacher in simple terms?

Jeff Hammerbacher (born 1982 or 1983) is an American data scientist. He was chief scientist and cofounder at Cloudera and later served on the faculty of the Icahn School of Medicine at Mount Sinai.

Why does Jeff Hammerbacher 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 Jeff Hammerbacher?

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 Jeff Hammerbacher.