Rebecca Willett

Inquirer
DISC Type : dc

Professor of Statistics and Computer Science at University of Chicago

United States

Overview

Rebecca Willett is the Worah Family Professor of Statistics and Computer Science at the University of Chicago, where she also serves as the Faculty Director for the AI+Science initiative. Her expertise covers machine learning, signal processing, and large-scale data analysis, building upon her PhD from Rice University.

She is a recipient of the National Science Foundation CAREER Award and was a member of the DARPA Computer Science Study Group.

Personality Overview

Demanding

Hard To Convince

Upfront

They focus on objectivity in a pitch and pay little attention to bells and whistles.  They don’t always try to control the conversation but neither do they like yielding it fully. They care equally about the product and its potential impact.

Topics They Care About

AI in Science
As the Faculty Director for the AI+Science initiative, she is actively focused on integrating artificial intelligence into various fields of scientific research and discovery.
Research Funding
She co-authored an article for Fortune magazine advocating for sustained federal research funding to ensure the United States remains a leader in AI and science.
Machine Learning
Her primary research area involves the foundations of machine learning, with specific applications in signal processing and data-driven scientific imaging.

Media Appearances

AI in Science: Thought Leader Interview with Rebecca Willett, Professor of Statistics and Computer Science, University of Chicago. Featured in IRIWeb

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How AI is Transforming Scientific Research, with Rebecca Willett. Featured in Facebook (University of Chicago)

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Research and Innovation at UW Video - Rebecca Willett. Featured in University of Chicago – Department of Statistics

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Work History

7-2018
Professor of Statistics and Computer Science at University of Chicago
8-2013 - 6-2018
Associate Professor at University of Wisconsin-Madison
1-2013 - 8-2013
Associate Professor at Duke University
8-2005 - 12-2012
Assistant Professor at Duke University

Education

2000 - 2005
Doctor of Philosophy - PhD from Rice University
1996 - 2000
Bachelor of Science - BS from Duke University

More Information

Social Presence :

Prographics :

Exp : 20 Location : United States Job Level : N/A Designation : Professor of Statistics and Computer Science at University of Chicago
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Insights For Selling To Rebecca

During A Call Or A Meeting

DO's

  • Be crisp while making the pitch
  • Stress on the business value that your product offers
  • Make sure that they have the necessary authority, they could present false stature sometimes

DONT's

  • Do not give up if they are not convinced, try again with a different approach
  • Refrain from asking too many questions
  • Avoid long winding pitches, stay objective

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Rebecca is

  • Confidence in the product plays an important role, followed by powerful testimonials.
  • Will you ever get a clear answer from Rebecca

  • They might hesitate a little, but they will say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Rebecca move?

  • Their decision making speed is somewhere in the middle.
  • Can Rebecca take some risk or not?

  • Once they have analyzed the pros and cons, they can take some risks.

You And Rebecca

Personality Compatibility


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