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Carlos Parra Email & Phone Number
Adjunct Professor — Data Science and Business Analytics
at
PRIME Business School -Universidad Sergio Arboleda
1 work email found
@nyulangone.org
8 phones found area 973, 323, 908, and 626
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Adjunct Professor — Data Science and Business Analytics
Location
New York City Metropolitan Area, United States
Company size
Who is Carlos Parra? Overview
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Quick answer
Carlos Parra is listed as Adjunct Professor — Data Science and Business Analytics at PRIME Business School -Universidad Sergio Arboleda, a with 43 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at nyulangone.org, phone signal with area code 973, 323, 908, 626, and a matched LinkedIn profile for Carlos Parra.
Carlos Parra previously worked as Consultant at Self-Employed and Research Scientist — Neuroimaging at Nyu Langone Health. Carlos Parra holds Doctor Of Philosophy (Ph.D.), Biomedical/Medical Engineering from The University Of Memphis.
Company email context
Email format at PRIME Business School -Universidad Sergio Arboleda
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{first}.{last}@nyulangone.org
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AeroLeads found 1 current-domain work email signal for Carlos Parra. Compare company email patterns before reaching out.
Profile bio
About Carlos Parra
Forward-thinking research scientist with over 12 years of experience leading and managing quantitative neuroimaging and translational projects at world-class research centers, contributing to 70 publications on cancer, brain function, and neurodegenerative disease.Extensive experience developing robust analytical models to extract scientifically sound insights from complex heterogeneous datasets through multidisciplinary collaborations supporting a better understanding of disease processes and potential therapeutic targets.Proven expertise in leveraging scientific programming, advanced mathematics, statistics, and engineering concepts to tackle complex research problems creatively, contributing analyses and reproducible processes relevant to advancing neuroimaging sciences.
Listed skills include Research, Statistical Data Analysis, Programming, Matlab, and 20 others.
Current workplace
Carlos Parra's current company
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Prime Business School -Universidad Sergio Arboleda
Employees
43
AeroLeads page
8 roles
Carlos Parra work experience
A career timeline built from the work history available for this profile.
Adjunct Professor — Data Science And Business Analytics
Consultant
Self-Employed
Provide consulting for statistical analyses in academic projects.Contribute to Kaggle projects, developing deep learning models for the analysis of physiological and medical imaging challenges
Research Scientist — Neuroimaging
Jan 2023 - Aug 2023
Aug 2016 - Jan 2023
Research Scholar
Research of thyroid cancer biomarkers derived from functional medical imaging (MRI, DWI, DCE-MRI)Cancer Research, Cancer, Neck, Head, Tumors, Programming, Statistics, biomarkers, research, MRI
May 2015 - May 2016
Research Assistant
MRI study of brain activity in pediatric cancer patientsFunctional Neuroimaging Laboratory (Ogg Lab)* Discovered spatio-temporal patterns of tumor presentation in retinoblastoma patients. Developed methods to systematically map and analyze intraocular lesion distributions (Dissertation topic). * Developed analytical and quantitative reasoning skills while studying neuroimaging data in research projects from different disease protocols.* Mentored students participating in institutional research internships (Pediatric Oncology Education, POE).
Apr 2009 - Apr 2015
Diagnostic Imaging Analyst
Pediatric CT imaging quality assessmentDepartment of Radiological Sciences* Developed an advanced computational framework to assess organ-specific image quality, required for radiation reduction in pediatric computed tomography (CT). Developed image segmentation algorithms based on neural networks.* Automated and optimized existing quality analysis solutions increasing efficiency and repeatability.* Designed applications to automatically harvest and organize patient and imaging information into efficient data structures supporting of future image quality research.
Aug 2013 - Mar 2015
3 education records
Carlos Parra education
Doctor Of Philosophy (Ph.D.), Biomedical/Medical Engineering
Master’S Degree, Electrical Engineering
Bachelor’S Degree, Electronics Engineering
FAQ
Frequently asked questions about Carlos Parra
Quick answers generated from the profile data available on this page.
What company does Carlos Parra work for?
Carlos Parra works for PRIME Business School -Universidad Sergio Arboleda.
What is Carlos Parra's role at PRIME Business School -Universidad Sergio Arboleda?
Carlos Parra is listed as Adjunct Professor — Data Science and Business Analytics at PRIME Business School -Universidad Sergio Arboleda.
What is Carlos Parra's email address?
AeroLeads has found 1 work email signal at @nyulangone.org for Carlos Parra at PRIME Business School -Universidad Sergio Arboleda.
What is Carlos Parra's phone number?
AeroLeads has found 8 phone signal(s) with area code 973, 323, 908, 626 for Carlos Parra at PRIME Business School -Universidad Sergio Arboleda.
Where is Carlos Parra based?
Carlos Parra is based in New York City Metropolitan Area, United States while working with PRIME Business School -Universidad Sergio Arboleda.
What companies has Carlos Parra worked for?
Carlos Parra has worked for Prime Business School -Universidad Sergio Arboleda, Self-Employed, Nyu Langone Health, Nyu Langone Medical Center, and Memorial Sloan Kettering Cancer Center.
How can I contact Carlos Parra?
You can use AeroLeads to view verified contact signals for Carlos Parra at PRIME Business School -Universidad Sergio Arboleda, including work email, phone, and LinkedIn data when available.
What schools did Carlos Parra attend?
Carlos Parra holds Doctor Of Philosophy (Ph.D.), Biomedical/Medical Engineering from The University Of Memphis.
What skills is Carlos Parra known for?
Carlos Parra is listed with skills including Research, Statistical Data Analysis, Programming, Matlab, Digital Image Processing, Digital Signal Processing, Brain Mapping, and Statistics.
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