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Dylan Fitzpatrick Email & Phone Number
Research Director (Machine Learning)
at
University of Chicago Crime Lab
1 work email found
@uchicago.edu
3 phones found area 607
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Research Director (Machine Learning)
Location
Chicago, Illinois, United States
Company size
Who is Dylan Fitzpatrick? Overview
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Quick answer
Dylan Fitzpatrick is listed as Research Director (Machine Learning) at University of Chicago Crime Lab, a with 49 employees, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at uchicago.edu, phone signal with area code 607, and a matched LinkedIn profile for Dylan Fitzpatrick.
Dylan Fitzpatrick previously worked as PhD Candidate at Carnegie Mellon University and Researcher at Nasa Frontier Development Lab. Dylan Fitzpatrick holds Doctor Of Philosophy - Phd, Machine Learning And Public Policy from Carnegie Mellon University.
Company email context
Email format at University of Chicago Crime Lab
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{first_initial}{last}@uchicago.edu
86% confidence
AeroLeads found 1 current-domain work email signal for Dylan Fitzpatrick. Compare company email patterns before reaching out.
Profile bio
About Dylan Fitzpatrick
Dylan Fitzpatrick is a Research Director (Machine Learning) at University of Chicago Crime Lab. He possess expertise in data science, machine learning, computer science, statistics, data analysis and 9 more skills.
Listed skills include Data Science, Machine Learning, Computer Science, Statistics, and 10 others.
Current workplace
Dylan Fitzpatrick's current company
Company context helps verify the profile and gives searchers a useful next step.
University Of Chicago Crime Lab
9 roles
Dylan Fitzpatrick work experience
A career timeline built from the work history available for this profile.
Research Director (Machine Learning)
Research Director (Machine Learning)
Aug 2015 - Sep 2020
Researcher
Nasa Frontier Development Lab
Jun 2019 - Aug 2019
Data Scientist
Crow Insight, Llc
Mar 2015 - Aug 2015
Masters Student
Sep 2013 - Dec 2014
Fellow
Data Science For Social Good - University Of Chicago
Jun 2014 - Sep 2014
Research Analyst
Aug 2011 - Jan 2014
3 education records
Dylan Fitzpatrick education
Doctor Of Philosophy - Phd, Machine Learning And Public Policy
Carnegie Mellon University
Master Of Science (Ms), Computer Science
Carnegie Mellon University
Bachelor Of Arts (Ba), Economics
Middlebury College
FAQ
Frequently asked questions about Dylan Fitzpatrick
Quick answers generated from the profile data available on this page.
What company does Dylan Fitzpatrick work for?
Dylan Fitzpatrick works for University of Chicago Crime Lab.
What is Dylan Fitzpatrick's role at University of Chicago Crime Lab?
Dylan Fitzpatrick is listed as Research Director (Machine Learning) at University of Chicago Crime Lab.
What is Dylan Fitzpatrick's email address?
AeroLeads has found 1 work email signal at @uchicago.edu for Dylan Fitzpatrick at University of Chicago Crime Lab.
What is Dylan Fitzpatrick's phone number?
AeroLeads has found 3 phone signal(s) with area code 607 for Dylan Fitzpatrick at University of Chicago Crime Lab.
Where is Dylan Fitzpatrick based?
Dylan Fitzpatrick is based in Chicago, Illinois, United States while working with University of Chicago Crime Lab.
What companies has Dylan Fitzpatrick worked for?
Dylan Fitzpatrick has worked for University Of Chicago Crime Lab, Carnegie Mellon University, Nasa Frontier Development Lab, Crow Insight, Llc, and Carnegie Mellon University School Of Computer Science.
How can I contact Dylan Fitzpatrick?
You can use AeroLeads to view verified contact signals for Dylan Fitzpatrick at University of Chicago Crime Lab, including work email, phone, and LinkedIn data when available.
What schools did Dylan Fitzpatrick attend?
Dylan Fitzpatrick holds Doctor Of Philosophy - Phd, Machine Learning And Public Policy from Carnegie Mellon University.
What skills is Dylan Fitzpatrick known for?
Dylan Fitzpatrick is listed with skills including Data Science, Machine Learning, Computer Science, Statistics, Data Analysis, Quantitative Research, Systems Programming, and Java.
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