Michael Schenk
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Michael Schenk Email & Phone Number

Applied Physicist at CERN
Location: Meyrin, Geneva, Switzerland 7 work roles 3 schools
1 work email found @epfl.ch LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Work email m****@epfl.ch
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Current company
Role
Applied Physicist
Location
Meyrin, Geneva, Switzerland
Company size

Who is Michael Schenk? Overview

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Quick answer

Michael Schenk is listed as Applied Physicist at CERN, a with 5852 employees, based in Meyrin, Geneva, Switzerland. AeroLeads shows a work email signal at epfl.ch and a matched LinkedIn profile for Michael Schenk.

Michael Schenk previously worked as Senior Research Fellow at Cern and Postdoctoral Researcher at Epfl (École Polytechnique Fédérale De Lausanne). Michael Schenk holds Doctor Of Philosophy - Phd, Accelerator Physics, Epfl Physics Thesis Distinction from Epfl (École Polytechnique Fédérale De Lausanne).

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Email format at CERN

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{first}.{last}@epfl.ch
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AeroLeads found 1 current-domain work email signal for Michael Schenk. Compare company email patterns before reaching out.

Profile bio

About Michael Schenk

I develop and implement machine learning solutions for automatic control and performance optimization of particle accelerators at the European Organization for Nuclear Research (CERN). My key strengths and interests are numerical modeling, scientific computing, deep and reinforcement learning, data analysis, and Python code development. I thrive in multinational and multidisciplinary research environments.

Current workplace

Michael Schenk's current company

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CERN
Cern
Applied Physicist
genève, geneva, switzerland
Website
Employees
5852
AeroLeads page
7 roles

Michael Schenk work experience

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

Applied Physicist

Current

Geneva, Switzerland

Aug 2023 - Present

Senior Research Fellow

Geneva, Switzerland

Feb 2021 - Jul 2023

Postdoctoral Researcher

Geneva Area, Switzerland

Contributor to the Particle Accelerators and Machine Learning Project (PACMAN) to explore, develop, and implement artificial intelligence (AI) and machine learning (ML) solutions for optimizing particle accelerator operation and performance at the European Organization for Nuclear Research (CERN) in Geneva, Switzerland.Responsibilities:• Develop machine learning (ML) model for Large Hadron Collider (LHC) particle lossusing conditional deep convolutional generative adversarial… Show more Contributor to the Particle Accelerators and Machine Learning Project (PACMAN) to explore, develop, and implement artificial intelligence (AI) and machine learning (ML) solutions for optimizing particle accelerator operation and performance at the European Organization for Nuclear Research (CERN) in Geneva, Switzerland.Responsibilities:• Develop machine learning (ML) model for Large Hadron Collider (LHC) particle lossusing conditional deep convolutional generative adversarial networks (c-DCGAN)• Realize ML model for particle transfer system and evaluate performance of reinforcement learning algorithms for automatic multi-parameter optimization• Supervise EPFL students for ML project on LHC datasets• Teaching assistant for introductory accelerator physics course Show less

Apr 2019 - Jan 2021

Doctoral Student

Geneva, Switzerland

• Studied novel technique to improve particle beam stability in future colliders, analytically, numerically, and experimentally.• Proposed, organized, and carried out experiments at the CERN accelerators.• Realized data processing and visualization in Python and performed analysis of experiments demonstrating good agreement with models.• Authored three peer-reviewed articles and gave invited talks at international conferences.

Aug 2015 - Mar 2019

Technical Student

Geneva Area, Switzerland

• Co-developed particle beam physics modules for multiparticle tracking code in Python

May 2014 - Jul 2015

Teaching Assistant

Bern, Switzerland

• Supervised undergraduate students during physics lab sessions

Oct 2012 - Feb 2014

Summer Student

Geneva Area, Switzerland

• Implemented benchmark module in C++ for particle interactions in matter

Jun 2012 - Sep 2012
Team & coworkers

Colleagues at CERN

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3 education records

Michael Schenk education

Master'S Degree, Engineering Physics/Applied Physics, Summa Cum Laude

• Developed and operated prototype detector for charged particle track reconstruction and achieved record electron drift distance.

FAQ

Frequently asked questions about Michael Schenk

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

What company does Michael Schenk work for?

Michael Schenk works for CERN.

What is Michael Schenk's role at CERN?

Michael Schenk is listed as Applied Physicist at CERN.

What is Michael Schenk's email address?

AeroLeads has found 1 work email signal at @epfl.ch for Michael Schenk at CERN.

Where is Michael Schenk based?

Michael Schenk is based in Meyrin, Geneva, Switzerland while working with CERN.

What companies has Michael Schenk worked for?

Michael Schenk has worked for Cern, Epfl (École Polytechnique Fédérale De Lausanne), and University Of Bern.

Who are Michael Schenk's colleagues at CERN?

Michael Schenk's colleagues at CERN include Giovanni Petrucciani, Emine Selin Akcan, Max Marriott-Clarke, Abdelouahid Akroh, and Ilya Gorbunov.

How can I contact Michael Schenk?

You can use AeroLeads to view verified contact signals for Michael Schenk at CERN, including work email, phone, and LinkedIn data when available.

What schools did Michael Schenk attend?

Michael Schenk holds Doctor Of Philosophy - Phd, Accelerator Physics, Epfl Physics Thesis Distinction from Epfl (École Polytechnique Fédérale De Lausanne).

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