Christopher Berman
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Christopher Berman Email & Phone Number

Machine Learning Research Fellow at CERN
Location: Pittsburgh, Pennsylvania, United States 5 work roles 2 schools
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Current company
Role
Machine Learning Research Fellow
Location
Pittsburgh, Pennsylvania, United States

Who is Christopher Berman? Overview

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Quick answer

Christopher Berman is listed as Machine Learning Research Fellow at CERN, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Christopher Berman.

Christopher Berman previously worked as Functional Programming (15-150) Teaching Assistant at Carnegie Mellon University School Of Computer Science and Summer Undergraduate Research Apprentice at Carnegie Mellon University'S College Of Engineering. Christopher Berman holds Bachelor Of Science - Bs, Computational Physics from Carnegie Mellon University.

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Email format at CERN

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CERN

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Profile bio

About Christopher Berman

I'm a Junior at Carnegie Mellon University studying Computational Physics with minors in Artificial Intelligence and Philosophy.

Listed skills include Vasp Python Module, Collaborative Problem Solving, Statistical Analysis, Fundamental Analysis, and 18 others.

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CERN
Cern
Machine Learning Research Fellow
Pittsburgh, PA, US
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5 roles

Christopher Berman work experience

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Machine Learning Research Fellow

Pittsburgh, PA, US

Functional Programming (15-150) Teaching Assistant

Current

Pittsburgh, PA

  • Manage course infrastructure and develop content for homework and labs.
  • Teach recitation and host office hours to guide student understanding of concepts.
  • Grade and provide feedback for homework and exams.
Jan 2024 - Present

Summer Undergraduate Research Apprentice

Pittsburgh, Pennsylvania, United States

  • Fine-tuned 4 graph neural networks to predict energies and forces in crystal structures.
  • Calculated MAE and RMSE scores by testing models on 5,000 out-of-sample data points
  • Summarized 4 research papers containing neural networks architectures designed for interatomic energy predictions.
  • Presented Research outcomes to an audience of 17 people at 2023 CMU Meeting of the Minds Symposium
May 2023 - Jan 2024

Data Analyst Intern

Lisbon, Portugal

  • Used modern machine learning techniques to analyze 1 month of market data.
  • Modeled a statistical mean reversion trading strategy using regression.
  • Fine-tuned models with validation data during training and backtesting.
  • Presented research results to team members and management.
May 2022 - Aug 2022
2 education records

Christopher Berman education

Bachelor Of Science - Bs, Computational Physics

Activities and Societies: Undergraduate Research, Scholars of Finance, Functional Programming Teaching Assistant, Sigma Phi Epsilon Minors.

International Baccalaureate, 40/45

Activities and Societies: MUN Club - HL Mathematics, Physics & Economics - Prefect - Won back-to-back best delegate awards at OPOMUN 2018.

FAQ

Frequently asked questions about Christopher Berman

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What company does Christopher Berman work for?

Christopher Berman works for CERN.

What is Christopher Berman's role at CERN?

Christopher Berman is listed as Machine Learning Research Fellow at CERN.

Where is Christopher Berman based?

Christopher Berman is based in Pittsburgh, Pennsylvania, United States while working with CERN.

What companies has Christopher Berman worked for?

Christopher Berman has worked for Cern, Carnegie Mellon University School Of Computer Science, Carnegie Mellon University'S College Of Engineering, and Jupiter Ventures.

How can I contact Christopher Berman?

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

What schools did Christopher Berman attend?

Christopher Berman holds Bachelor Of Science - Bs, Computational Physics from Carnegie Mellon University.

What skills is Christopher Berman known for?

Christopher Berman is listed with skills including Vasp Python Module, Collaborative Problem Solving, Statistical Analysis, Fundamental Analysis, Object Oriented Programming, Event Planning, Networking, and Team Leadership.

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