Carl Edward Rasmussen
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Carl Edward Rasmussen Email & Phone Number

Professor of Machine Learning at University of Cambridge
Location: Greater Cambridge Area, United Kingdom, United Kingdom 8 work roles 2 schools
1 work email found @cam.ac.uk LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email c****@cam.ac.uk
LinkedIn Profile matched
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Current company
Role
Professor of Machine Learning
Location
Greater Cambridge Area, United Kingdom, United Kingdom

Who is Carl Edward Rasmussen? Overview

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Quick answer

Carl Edward Rasmussen is listed as Professor of Machine Learning at University of Cambridge, based in Greater Cambridge Area, United Kingdom, United Kingdom. AeroLeads shows a work email signal at cam.ac.uk and a matched LinkedIn profile for Carl Edward Rasmussen.

Carl Edward Rasmussen previously worked as Chief Scientist and Chairman at Secondmind and Chairman at Secondmind. Carl Edward Rasmussen holds Phd, Computer Science from University Of Toronto.

Company email context

Email format at University of Cambridge

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*@cam.ac.uk
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AeroLeads found 1 current-domain work email signal for Carl Edward Rasmussen. Compare company email patterns before reaching out.

Profile bio

About Carl Edward Rasmussen

I work on climate change and machine learning. Climate change is primarily a problem of policy: how do we cooperate globally over common resources? In my view, we're currently doing disastrously badly. In machine learning I'm interested in learning, inference and decision making under uncertainty: Bayesian inference, statistical modelling, stochastic processes, Gaussian processes and reinforcement learning among others.

Listed skills include Machine Learning, Pattern Recognition, Algorithms, Mathematical Modeling, and 8 others.

Current workplace

Carl Edward Rasmussen's current company

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University of Cambridge
University Of Cambridge
Professor of Machine Learning
Cambridge, Cambridgeshire, United Kingdom
AeroLeads page
8 roles · 10 years

Carl Edward Rasmussen work experience

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

Chief Scientist And Chairman

Current

Cambridge, Cambridgeshire, GB

Feb 2019 - Present

Chairman

Current

Cambridge, Cambridgeshire, GB

2016 - Present ~10 yrs 4 mos

Founder & Partner

Current
Quantmachines
Nov 2008 - Present

Consultant

Rambøll Informatik
Nov 1997 - Jun 1998
2 education records

Carl Edward Rasmussen education

Phd, Computer Science

University Of Toronto

Msc, Electronics Engineering

Dtu - Technical University Of Denmark
FAQ

Frequently asked questions about Carl Edward Rasmussen

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

What company does Carl Edward Rasmussen work for?

Carl Edward Rasmussen works for University of Cambridge.

What is Carl Edward Rasmussen's role at University of Cambridge?

Carl Edward Rasmussen is listed as Professor of Machine Learning at University of Cambridge.

What is Carl Edward Rasmussen's email address?

AeroLeads has found 1 work email signal at @cam.ac.uk for Carl Edward Rasmussen at University of Cambridge.

Where is Carl Edward Rasmussen based?

Carl Edward Rasmussen is based in Greater Cambridge Area, United Kingdom, United Kingdom while working with University of Cambridge.

What companies has Carl Edward Rasmussen worked for?

Carl Edward Rasmussen has worked for University Of Cambridge, Secondmind, Quantmachines, Max Planck Institute For Biological Cybernetics, and Gatsby Computational Neuroscience Unit, University College London.

How can I contact Carl Edward Rasmussen?

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

What schools did Carl Edward Rasmussen attend?

Carl Edward Rasmussen holds Phd, Computer Science from University Of Toronto.

What skills is Carl Edward Rasmussen known for?

Carl Edward Rasmussen is listed with skills including Machine Learning, Pattern Recognition, Algorithms, Mathematical Modeling, Matlab, Artificial Intelligence, Probabilistic Inference, and Latex.

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