Florian Markowetz
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Florian Markowetz Email & Phone Number

Location: Cambridge, England, United Kingdom 7 work roles 3 schools
1 work email found @cancer.org.uk LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email f****@cancer.org.uk
LinkedIn Profile matched
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Current company
Role
Professor
Location
Cambridge, England, United Kingdom
Company size

Who is Florian Markowetz? Overview

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Quick answer

Florian Markowetz is listed as Professor at University of Cambridge, a company with 19784 employees, based in Cambridge, England, United Kingdom. AeroLeads shows a work email signal at cancer.org.uk and a matched LinkedIn profile for Florian Markowetz.

Florian Markowetz previously worked as Groupleader at Cancer Research Uk Cambridge Research Institute and Co-Founder at Tailor Bio. Florian Markowetz holds Magister Artium, Philosophy from Heidelberg University.

Company email context

Email format at University of Cambridge

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{first}.{last}@cancer.org.uk
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AeroLeads found 1 current-domain work email signal for Florian Markowetz. Compare company email patterns before reaching out.

Profile bio

About Florian Markowetz

Florian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor.

Listed skills include Bioinformatics, Computational Biology, Machine Learning, Statistics, and 15 others.

Current workplace

Florian Markowetz's current company

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University of Cambridge
University Of Cambridge
Professor
Cambridge, GB
Website
Employees
19784
AeroLeads page
7 roles

Florian Markowetz work experience

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

Co-Founder

Current

Cambridge, GB

Apr 2020 - Present

Postdoctoral Fellow

Princeton, NJ, US

Developed methodology for data integration to refine cellular signaling pathways. Worked on data integration to understand regulation of Mouse embryonic stem cells.

Jul 2006 - Dec 2008
3 education records

Florian Markowetz education

Magister Artium, Philosophy

Heidelberg University

Dipl. Math., Mathematics

Heidelberg University

Abitur

Altes Kurfürstliches Gymnasium (Akg) Bensheim
FAQ

Frequently asked questions about Florian Markowetz

Quick answers generated from the profile data available on this page.

What company does Florian Markowetz work for?

Florian Markowetz works for University of Cambridge.

What is Florian Markowetz's role at University of Cambridge?

Florian Markowetz is listed as Professor at University of Cambridge.

What is Florian Markowetz's email address?

AeroLeads has found 1 work email signal at @cancer.org.uk for Florian Markowetz at University of Cambridge.

Where is Florian Markowetz based?

Florian Markowetz is based in Cambridge, England, United Kingdom while working with University of Cambridge.

What companies has Florian Markowetz worked for?

Florian Markowetz has worked for University Of Cambridge, Cancer Research Uk Cambridge Research Institute, Tailor Bio, Princeton University, and Max Planck Institute For Molecular Genetics.

How can I contact Florian Markowetz?

You can use AeroLeads to view verified contact signals for Florian Markowetz at University of Cambridge, including work email, phone, and LinkedIn data when available.

What schools did Florian Markowetz attend?

Florian Markowetz holds Magister Artium, Philosophy from Heidelberg University.

What skills is Florian Markowetz known for?

Florian Markowetz is listed with skills including Bioinformatics, Computational Biology, Machine Learning, Statistics, Systems Biology, Genomics, Molecular Biology, and Genetics.

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