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Julia C. Gage

Julia C. Gage 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 Julia C. Gage rather than just read about it. In short: Julia C. Gage is an American cancer epidemiologist who researches cervical screening and the human papillomavirus infection.

Julia C. Gage — main illustration
Julia C. Gage — illustration

Key takeaways

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

Reference excerpt

Julia C. Gage is an American cancer epidemiologist who researches cervical screening and the human papillomavirus infection. She is a staff scientist in the clinical genetics branch at the National Cancer Institute.

Early life and education Gage completed a B.A. in political science with a concentration in Latin American studies from Grinnell College in 1995. From October 1996 to August 1998, she worked for AFL–CIO as an Organizing Institute apprentice and later a union organizer for the Service Employees International Union. Gage worked for the Maxwell Stamp, Inc. in Washington, D.C. as a business development and research assistant from September 1998 to March 2000. From March 2000 to February 2002, Gage was a research assistant and consultant in the non-communicable disease program of the Pan American Health Organization where she primarily used Spanish and designed study protocols. In 2001, she earned a M.P.H. in international health promotion from the George Washington Milken Institute School of Public Health. Between September 2002 to August 2004, Gage worked at the Health Resources and Services Administration, first as a scholar and then as a public health analyst in the office of data and information management in the Maternal and Child Health Bureau. In 2005, Gage joined the National Cancer Institute's (NCI) division of cancer epidemiology and genetics (DCEG) as a pre-doctoral fellow while pursuing a Ph.D. in epidemiology at the Johns Hopkins Bloomberg School of Public Health. She completed her Ph.D. in epidemiology in 2008. Her dissertation was titled, An evaluation of visual triage of human papillomavirus-positive women. Janet Holbrook was her doctoral advisor and Mark Schiffman of NCI was her mentor. Gage completed a postdoctoral fellowship at the NCI, first in the hormonal and reproductive epidemiology branch, and then in the clinical genetics branch (CGB).

Career Gage has worked as a staff scientist in the CGB since 2014. She works on projects with Nicolas Wentzensen, Philip E. Castle, and Schiffman. Gage is focused on translating discoveries regarding the natural history of human papillomavirus (HPV) into improved screening and diagnosis for cervical precancer. In particular, she investigates improved targeting of underlying precancer through HPV tests and biomarkers. Gage also pursues scientific investigations to identify and bring new technologies for cervical cancer prevention to low medical resource settings. Along with Wentzensen, Gage serves as co-investigator for multiple studies within the DCEG collaboration with Kaiser Permanente of Northern California (KPNC). She is a co-investigator of the Improving Risk Informed HPV Screening (IRIS) Study, involving HPV and cytology specimens from over 77,000 participants. Under the leadership of Schiffman, Gage is part of a team of investigators at the NCI and the National Library of Medicine developing a simple, low-cost visual cervical screening method called automated visual evaluation (AVE). She leads the development of a deep learning algorithm that will inform clinical management decisions when testing positive. Gage serves as lead NCI investigator under the direction of Schiffman to evaluate the effectiveness and cost-effectiveness of cervical screening and triage strategies in the Management of Risk of Cervical Cancer (MARCO) project. Under the supervision of Castle, division of cancer prevention, Gage is the lead NCI scientist for an NCI grant-funded cross-sectional study of HPV screening and triage strategies among 5,000 women living with HIV. She is also the lead NCI scientist on a second Rwandan study of the impact of prophylactic HPV vaccination on HPV immunity and HPV infection in women living with HIV. Gage received the Hubert H. Humphrey Award for Service to America in 2022.

See also List of George Washington University alumni List of Grinnell College alumni List of Johns Hopkins University people

References

Illustrations

Julia C. Gage illustration

Worked examples

Example 1 — a first encounter with Julia C. Gage

Start with the simplest possible case. Write down what Julia C. Gage 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 Julia C. Gage 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 Julia C. Gage 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 Julia C. Gage

In research
Julia C. Gage 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 Julia C. Gage 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
Julia C. Gage is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American women scientists, AFL-CIO people, American epidemiologists, so understanding it makes those chapters shorter.
In everyday life
Look for Julia C. Gage 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 Julia C. Gage in 20 minutes

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

Frequently asked questions

What is Julia C. Gage in simple terms?

Julia C. Gage is an American cancer epidemiologist who researches cervical screening and the human papillomavirus infection.

Why does Julia C. Gage 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 Julia C. Gage?

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 Julia C. Gage.

Tags

  • 21st-century American women scientists
  • AFL-CIO people
  • American epidemiologists
  • American women epidemiologists
  • Cancer epidemiologists
  • Grinnell College alumni
  • Johns Hopkins Bloomberg School of Public Health alumni
  • Living people
  • Milken Institute School of Public Health alumni
  • National Institutes of Health people

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