Philip Graff
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Philip Graff Email & Phone Number

Location: Laurel, Maryland, United States 11 work roles 2 schools
1 work email found @jhuapl.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Role
Senior Data Scientist
Location
Laurel, Maryland, United States
Company size

Who is Philip Graff? Overview

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Quick answer

Philip Graff is listed as Senior Data Scientist at The Johns Hopkins University Applied Physics Laboratory, a with 5538 employees, based in Laurel, Maryland, United States. AeroLeads shows a work email signal at jhuapl.edu and a matched LinkedIn profile for Philip Graff.

Philip Graff previously worked as Chief Scientist at The Johns Hopkins University Applied Physics Laboratory and Data Scientist at The Johns Hopkins University Applied Physics Laboratory. Philip Graff holds Ph.D., Astrophysics from University Of Cambridge.

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{first}.{last}@jhuapl.edu
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Profile bio

About Philip Graff

Postdoctoral researcher interested in the physics of gravitational waves and their detection. Broader interest in Bayesian data analysis techniques and machine learning.

Listed skills include Physics, Data Analysis, Machine Learning, Astrophysics, and 18 others.

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The Johns Hopkins University Applied Physics Laboratory
The Johns Hopkins University Applied Physics Laboratory
Senior Data Scientist
laurel, maryland, united states
Website
Employees
5538
AeroLeads page
11 roles

Philip Graff work experience

A career timeline built from the work history available for this profile.

Research Associate

College Park, Md

I continued my work from my previous position. This includes studies of gravitational wave parameter estimation for massive binary black hole (BBH) systems and spinning BBHs. I am also continuing studies in applying machine learning to astrophysics. Ongoing work includes applying various machine learning methods to Swift data analysis and to LIGO detection pipeline improvement.

Sep 2014 - Sep 2015

Nasa Postdoctoral Fellow

My research involved the detection and characterization of gravitational wave signals. I use Bayesian inference techniques to detect and measure the source parameters of gravitational waves in noisy data for the LIGO Scientific Collaboration. This utilizes many waveform models which can be added to real or simulated noise.My research also involves the application of machine learning, specifically artificial neural networks, to astrophysics. This is through the improvement of Bayesian inference as well as using the predictive power of neural networks for direct data analysis and data mining.

Sep 2012 - Sep 2014

Supervisor

Conduct weekly supervisions for students in first-year mathematicsAssign examples, mark work, and review materialFour groups of 2 or 3 students each, meeting one hour per week per group during term

Oct 2009 - Jun 2012

Phd Student

Research student working towards completion of PhD in Astrophysics Group of Department of Physics.

Oct 2008 - Jun 2012

Demonstrator

Helped students perform weekly experiments in a first-year physics laboratory classMarked lab reports for 6-10 students per week

Jan 2009 - Jun 2009

Teaching Assistant

Led discussion sections in an introductory mechanics class

Jan 2007 - May 2008

Undergraduate Student

Earned my Bachelor of Science degrees (summa cum laude) in Physics and Mathematics while a member of the Honors College.

Sep 2004 - May 2008

Research Intern

Ligo Caltech

Developed an improved method for initial lock acquisition of the Michelson interferometers used in the LIGO observatories using pseudo-random noise.MATLAB simulations were used to test concepts; models were planned to be used to test methods on the 40-meter interferometer at Caltech.Work performed with Dr

Jun 2007 - Aug 2007
Team & coworkers

Colleagues at The Johns Hopkins University Applied Physics Laboratory

Other employees you can reach at jhuapl.edu. View company contacts for 5538 employees →

2 education records

Philip Graff education

Bs, Physics, Mathematics

Activities and Societies: Student Government Association, Alpha Epsilon Pi Fraternity, Society of Physics Students, Phi Beta Kappa Honors.

FAQ

Frequently asked questions about Philip Graff

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What company does Philip Graff work for?

Philip Graff works for The Johns Hopkins University Applied Physics Laboratory.

What is Philip Graff's role at The Johns Hopkins University Applied Physics Laboratory?

Philip Graff is listed as Senior Data Scientist at The Johns Hopkins University Applied Physics Laboratory.

What is Philip Graff's email address?

AeroLeads has found 1 work email signal at @jhuapl.edu for Philip Graff at The Johns Hopkins University Applied Physics Laboratory.

Where is Philip Graff based?

Philip Graff is based in Laurel, Maryland, United States while working with The Johns Hopkins University Applied Physics Laboratory.

What companies has Philip Graff worked for?

Philip Graff has worked for The Johns Hopkins University Applied Physics Laboratory, University Of Maryland, Nasa Goddard Space Flight Center, University Of Cambridge, and Umbc.

Who are Philip Graff's colleagues at The Johns Hopkins University Applied Physics Laboratory?

Philip Graff's colleagues at The Johns Hopkins University Applied Physics Laboratory include Mary Buzby, Suhaily Cardona-Romero, Richard Dudley, Marc Logsdon, and Richard Heisler.

How can I contact Philip Graff?

You can use AeroLeads to view verified contact signals for Philip Graff at The Johns Hopkins University Applied Physics Laboratory, including work email, phone, and LinkedIn data when available.

What schools did Philip Graff attend?

Philip Graff holds Ph.D., Astrophysics from University Of Cambridge.

What skills is Philip Graff known for?

Philip Graff is listed with skills including Physics, Data Analysis, Machine Learning, Astrophysics, Matlab, Research, Statistics, and Mathematical Modeling.

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