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Caterina Liberati Email & Phone Number
Associate Professor in Economic Statistics
at
Università degli Studi di Milano-Bicocca
1 work email found
@unimib.it
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Associate Professor in Economic Statistics
Location
Milan, Lombardy, Italy
Who is Caterina Liberati? Overview
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Quick answer
Caterina Liberati is listed as Associate Professor in Economic Statistics at Università degli Studi di Milano-Bicocca, based in Milan, Lombardy, Italy. AeroLeads shows a work email signal at unimib.it and a matched LinkedIn profile for Caterina Liberati.
Caterina Liberati previously worked as Tenured Assistant Professor in Economic Statistics at Università Degli Studi Di Milano-Bicocca and Director at Websight Observatory. Caterina Liberati holds Ph.D., Statistics from Università Di Bologna.
Company email context
Email format at Università degli Studi di Milano-Bicocca
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{first}.{last}@unimib.it
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AeroLeads found 1 current-domain work email signal for Caterina Liberati. Compare company email patterns before reaching out.
Profile bio
About Caterina Liberati
Caterina Liberati is a Associate Professor in Economic Statistics at Università degli Studi di Milano-Bicocca. She possess expertise in data mining, statistics, sas, data analysis, multivariate statistics and 9 more skills. She is proficient in English.
Listed skills include Data Mining, Statistics, Sas, Data Analysis, and 10 others.
Current workplace
Caterina Liberati's current company
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Università Degli Studi Di Milano-Bicocca
AeroLeads page
9 roles · 3 years
Caterina Liberati work experience
A career timeline built from the work history available for this profile.
Associate Professor In Economic Statistics
CurrentResearch Interests: Supervised Learning, Uncoventional Data, SMEs
Oct 2019 - Present
Tenured Assistant Professor In Economic Statistics
Nov 2010 - Oct 2019
Director
Current
2024 - Present
~2 yrs 6 mos
Aug 2019 - Jul 2023
Visiting Researcher
Oct 2015 - Dec 2015
Research Fellow In Statistics
Research Interests:Pattern Recognition, Data Mining, Supervised Classification
Oct 2006 - Sep 2010
Visiting Fellow
Researcher in probabilistic KDA and RVM combined with Complexity Theory (Marco Polo Grant) under supervision of prof. H. Bozdogan
Sep 2007 - Mar 2008
Statistical Researcher
SAS programmer and developer of statistical models for business solutions.
Oct 2001 - Mar 2003
3 education records
Caterina Liberati education
Ph.D., Statistics
Visiting Ph.D., Statistics
2001, Statistics
FAQ
Frequently asked questions about Caterina Liberati
Quick answers generated from the profile data available on this page.
What company does Caterina Liberati work for?
Caterina Liberati works for Università degli Studi di Milano-Bicocca.
What is Caterina Liberati's role at Università degli Studi di Milano-Bicocca?
Caterina Liberati is listed as Associate Professor in Economic Statistics at Università degli Studi di Milano-Bicocca.
What is Caterina Liberati's email address?
AeroLeads has found 1 work email signal at @unimib.it for Caterina Liberati at Università degli Studi di Milano-Bicocca.
Where is Caterina Liberati based?
Caterina Liberati is based in Milan, Lombardy, Italy while working with Università degli Studi di Milano-Bicocca.
What companies has Caterina Liberati worked for?
Caterina Liberati has worked for Università Degli Studi Di Milano-Bicocca, Websight Observatory, Isbis • International Society For Business And Industrial Statistics, University Of Edinburgh Business School, and Università Di Bologna.
How can I contact Caterina Liberati?
You can use AeroLeads to view verified contact signals for Caterina Liberati at Università degli Studi di Milano-Bicocca, including work email, phone, and LinkedIn data when available.
What schools did Caterina Liberati attend?
Caterina Liberati holds Ph.D., Statistics from Università Di Bologna.
What skills is Caterina Liberati known for?
Caterina Liberati is listed with skills including Data Mining, Statistics, Sas, Data Analysis, Multivariate Statistics, Statistical Modeling, Pattern Recognition, and Multivariate Analysis.
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