Laura Bergsten
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Laura Bergsten Email & Phone Number

Staff Machine Learning Engineer at General Motors
Location: Greater Boston, United States, United States 10 work roles 2 schools
1 work email found @eqrx.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email l****@eqrx.com
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Current company
Role
Staff Machine Learning Engineer
Location
Greater Boston, United States, United States
Company size

Who is Laura Bergsten? Overview

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Quick answer

Laura Bergsten is listed as Staff Machine Learning Engineer at General Motors, a company with 102186 employees, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at eqrx.com and a matched LinkedIn profile for Laura Bergsten.

Laura Bergsten previously worked as Senior Data Scientist II at Cruise and Senior Data Scientist at Motional. Laura Bergsten holds Doctor Of Philosophy - Phd, Elementary Particle Physics from Brandeis University.

Company email context

Email format at General Motors

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{first_initial}{last}@eqrx.com
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AeroLeads found 1 current-domain work email signal for Laura Bergsten. Compare company email patterns before reaching out.

Profile bio

About Laura Bergsten

I have always been inspired by difficult problems and the potential for big data to solve them. From the smallest components of matter to the complex dynamics of the US healthcare system, data analysis is the key to understanding fundamental systems and building solutions to complicated problems.

Listed skills include Mathematics, Physics, Particle Physics, Git, and 18 others.

Current workplace

Laura Bergsten's current company

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General Motors
General Motors
Staff Machine Learning Engineer
Boston, MA, US
Website
Employees
102186
AeroLeads page
10 roles

Laura Bergsten work experience

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

Senior Data Scientist Ii

Current
Sep 2024 - Present

Senior Data Scientist

Boston, Massachusetts, United States

Aug 2023 - Aug 2024

Senior Data Scientist

Eqrx

Cambridge, Massachusetts, United States

Created cloud-based user-facing tools from end-to-end including scoping, front-end design, database design, data ETL and queries, testing, deployment, and maintenance. These tools led to a rapid decrease in manual time required for routine analyses.Led analyses using machine learning methods for regression, classification, and topic modeling to bring.

Jul 2022 - Aug 2023

Data Scientist

Eqrx

Cambridge, Massachusetts, United States

Developed expertise in 4+ distinct patient Claims and EHR datasets each including use of numerous medical ontologies and TB-scale relational databases. Rapidly became data science team lead in using this data to provide stakeholders with clear, expeditious analyses which streamlined the process for assessing product markets.Interviewed and onboarded new.

Nov 2020 - Jul 2022

Ph.D. Candidate

Geneva Area, Switzerland

Worked as a lead researcher on a cross-institute multinational team studying a statistically rare decay mode of the Higgs boson in search of new physics. Integrated classical maximum likelihood fits with machine-learning approaches (specifically, boosted decision trees and various neural network architectures) to analyze more than 10 million collision.

Sep 2015 - Jul 2020

Research Fellowship

New York

Awarded a US Department of Energy Office of Science Graduate Student Research fellowship to create, validate, and implement a software suite to operate robotic equipment for the fabrication of detector components for installation on the ATLAS experiment.Managed three summer undergraduates and two PhD students as lead Brandeis researcher at BNL, providing.

Jul 2017 - Jul 2018

Intern

Greater San Diego Area

Designed an efficient automated computational method for Motional Stark Effect corrections, contributing to R&D on one of the world's largest magnetically confined fusion reactors (the DIII-D experiment).Culminated in a presentation at the American Physics Society: Department of Plasma Physics annual conference in October 2014 and paper published November.

Jun 2014 - Aug 2014

Intern

Meyrin, Switzerland

Simulated the effects of radiation damage on longevity of CERN's CMS detector in collaboration with Texas Tech resulting in talk webcast here:

Jan 2014 - Apr 2014

Intern

Princeton, New Jersey

Through the U.S. Department of Energy Science Undergraduate Laboratory Internship program, studied the heating and evaporation of lithium in the LTX experiment, a plasma confinement device.

Sep 2013 - Dec 2013
Team & coworkers

Colleagues at General Motors

Other employees you can reach at gm.com. View company contacts for 102186 employees →

2 education records

Laura Bergsten education

Doctor Of Philosophy - Phd, Elementary Particle Physics

Coursework: Quantum Field Theory, Statistical Physics, Electromagnetic Theory, Quantum Mechanics, Particle Physics

Bachelor Of Arts - Ba, Double Major: Physics, Mathematics

Activities and Societies: Association of Women in Mathematics, President; James O. Freedman Presidential Scholar;Relevant coursework.

FAQ

Frequently asked questions about Laura Bergsten

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

What company does Laura Bergsten work for?

Laura Bergsten works for General Motors.

What is Laura Bergsten's role at General Motors?

Laura Bergsten is listed as Staff Machine Learning Engineer at General Motors.

What is Laura Bergsten's email address?

AeroLeads has found 1 work email signal at @eqrx.com for Laura Bergsten at General Motors.

Where is Laura Bergsten based?

Laura Bergsten is based in Greater Boston, United States, United States while working with General Motors.

What companies has Laura Bergsten worked for?

Laura Bergsten has worked for General Motors, Cruise, Motional, Eqrx, and Brandeis University.

Who are Laura Bergsten's colleagues at General Motors?

Laura Bergsten's colleagues at General Motors include Gary Lakemper, David Wekesa, Gagan Gurung, Sindhu Mulinti, and Heeral Narkhede.

How can I contact Laura Bergsten?

You can use AeroLeads to view verified contact signals for Laura Bergsten at General Motors, including work email, phone, and LinkedIn data when available.

What schools did Laura Bergsten attend?

Laura Bergsten holds Doctor Of Philosophy - Phd, Elementary Particle Physics from Brandeis University.

What skills is Laura Bergsten known for?

Laura Bergsten is listed with skills including Mathematics, Physics, Particle Physics, Git, Public Speaking, Data Science, Microsoft Powerpoint, and Teaching.

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