Dan Gifford

Dan Gifford Email and Phone Number

Principal Scientist (AI/ML) @ Getty Images. @ Getty Images
Edmonds, WA, US
Dan Gifford's Location
Edmonds, Washington, United States, United States
Dan Gifford's Contact Details

Dan Gifford work email

Dan Gifford personal email

n/a
About Dan Gifford

I believe machine learning and AI should be a positive force, both ethically and for growth, in industry. To succeed, data science must be much more than an accurate algorithm or a shared Jupyter Notebook. As a principal scientist and machine learning engineer, I have deep experience identifying opportunities where algorithms and products come together to drive value for a business. This involves asking the right questions of stakeholders, knowing when to trust or be skeptical of data, being capable of working cross-functionally with engineers, designers, and other data scientists to deliver something meaningful, and mastering the differing communication styles necessary to promote the team's work across all levels of the business.

Dan Gifford's Current Company Details
Getty Images

Getty Images

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Principal Scientist (AI/ML) @ Getty Images.
Edmonds, WA, US
Website:
gettyimages.com
Employees:
6113
Dan Gifford Work Experience Details
  • Getty Images
    Getty Images
    Edmonds, Wa, Us
  • Getty Images
    Principal Scientist
    Getty Images Mar 2021 - Present
    Seattle, Washington, Us
  • Getty Images
    Senior Data Scientist
    Getty Images Oct 2018 - Mar 2021
    Seattle, Washington, Us
  • Getty Images
    Data Scientist
    Getty Images Jan 2016 - Sep 2018
    Seattle, Washington, Us
  • University Of Michigan
    Astrophysics Graduate Student Researcher
    University Of Michigan Sep 2010 - Dec 2015
    Ann Arbor, Michigan, Us
    – Designed an open-source software package to take raw data from a telescope that is complex, un-calibrated, and contains bad (dirty) data, and reduces the dataset into structured, clean, research-quality data. Hosted at github.com/giffordw/OSMOSreduce– Mined large, high-dimensional data sets from public relational databases to study astrophysical properties of galaxy clusters and joined with data from different sources– Developed a Gaussian mixture regression model to predict physical properties of astrophysical objects based on a limited set of observables. The regression was performed with Bayesian priors and a Markov Chain Monte Carlo (MCMC) simulation of the posterior distribution– Utilized ~100 cores on a university high-performance computing cluster to routinely run parallel jobs to complete a statistical study of how shape affects astrophysical observations

Dan Gifford Skills

Python Statistics Data Analysis Astronomy Mathematical Modeling Public Speaking Statistical Modeling Data Visualization Data Science C Quantitative Research Bayesian Statistics Data Mining Machine Learning Undergraduate Teaching Research Unix Shell Scripting High Performance Computing Professional Mentoring Predictive Analytics Apache Spark Bayesian Hierarchical Modeling Deep Learning

Dan Gifford Education Details

  • University Of Michigan
    University Of Michigan
    Astronomy
  • Western Washington University
    Western Washington University
    Physics

Frequently Asked Questions about Dan Gifford

What company does Dan Gifford work for?

Dan Gifford works for Getty Images

What is Dan Gifford's role at the current company?

Dan Gifford's current role is Principal Scientist (AI/ML) @ Getty Images..

What is Dan Gifford's email address?

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What is Dan Gifford's direct phone number?

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What schools did Dan Gifford attend?

Dan Gifford attended University Of Michigan, Western Washington University.

What skills is Dan Gifford known for?

Dan Gifford has skills like Python, Statistics, Data Analysis, Astronomy, Mathematical Modeling, Public Speaking, Statistical Modeling, Data Visualization, Data Science, C, Quantitative Research, Bayesian Statistics.

Who are Dan Gifford's colleagues?

Dan Gifford's colleagues are Richard Davis, 임정호, Jamie Morey, Alwyn Gosford, Philippa Hutson, Matthew Lewis, Thomas Engler.

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