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Christopher Bronner Email & Phone Number

Lead Machine Learning Scientist at The Knot Worldwide
Location: United States, United States, United States 10 work roles 2 schools
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Role
Lead Machine Learning Scientist
Location
United States, United States, United States

Who is Christopher Bronner? Overview

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Christopher Bronner is listed as Lead Machine Learning Scientist at The Knot Worldwide, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Christopher Bronner.

Christopher Bronner previously worked as Senior Machine Learning Scientist at The Knot Worldwide and Senior Data Scientist at The Knot Worldwide. Christopher Bronner holds Doctor Of Philosophy (Phd), Physics from Freie Universität Berlin.

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The Knot Worldwide

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Profile bio

About Christopher Bronner

I am a machine learning scientist with a physics Ph.D. background at The Knot Worldwide, the company that runs WeddingWire and The Knot, the most popular brands for online wedding planning in the United States. In this role, I build ML models and applications that form the backend of consumer-facing services, e.g. by providing product recommendations, personalization and AI-generated content.Before my current role, I did basic research in experimental physics. The focus of my research was on functional nanoscale materials.

Listed skills include Research, Physics, Data Analysis, Latex, and 50 others.

Current workplace

Christopher Bronner's current company

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The Knot Worldwide
The Knot Worldwide
Lead Machine Learning Scientist
AeroLeads page
10 roles

Christopher Bronner work experience

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

Lead Machine Learning Scientist

Current

Chevy Chase, MD, US

Apr 2024 - Present

Senior Machine Learning Scientist

Chevy Chase, MD, US

Jan 2024 - Apr 2024

Data Scientist

Chevy Chase, MD, US

Jan 2019 - Apr 2022

Postdoctoral Researcher

Berkeley, CA, US

  • Developed a strategy based on hierarchical on-surface synthesis from organic molecules to synthesize heterojunctions of graphene nanoribbons. These heterojunctions are much smaller than and are designed to replace p-n.
  • Managed procurement of two new low-temperature scanning tunneling microscopes and successfully coordinated integration into existing ultra-high vacuum systems ($500k project)
  • Fabrication of atomically precise graphene nanoribbons via molecular beam epitaxy onto thin gold films and characterization with low-temperature scanning tunneling microscopy. Such nanoribbons were used as channel.
Jan 2015 - Sep 2018

Fellow

Berkeley Graduate Data Science Organization Workshop
  • Worked in a small team of data scientists
  • Performed data mining and feature engineering
  • Built predictive models with python, scikit-learn
Jul 2018 - Aug 2018

Experimental Physicist

Heidelberg, DE

  • Used time-resolved two-photon photoemission to investigate the exciton formation and decay dynamics in methylammonium lead trihalide perovskites in order to identify ways to improve energy conversion properties in.
  • Invented a method to remove an unwanted side product (bromine) during on-surface synthesis reactions by exposing the reactants to hydrogen gas, a protocol which is now implemented by several other researchers
  • Measured the adsorption energy of organic molecules on metal surfaces using temperature-programmed desorption to enable theoretical physicists to benchmark cutting-edge computational methods
Jul 2013 - Dec 2014

Experimental Physicist

Berlin, DE

  • Synthesized the first graphene nanoribbons doped with atomic precision via nitrogen-substituted molecular precursors; demonstrated the effectiveness of the doping using photoemission, manifested in a shift of the.
  • Used two-photon photoemission to demonstrate that the photoswitching ability ofazobenzene-based molecules adsorbed on gold and bismuth surfaces depends strongly on theenergetic alignment of the molecular orbitals.
Sep 2010 - Jun 2013

Student Beamline Technician

Helmholtz Center Berlin For Materials And Energy

Performed maintenance on high-vacuum beamline at a cyclotron used for proton therapy of human eye tumors

May 2008 - May 2009
2 education records

Christopher Bronner education

Doctor Of Philosophy (Phd), Physics

Freie Universität Berlin

M.Sc., Physics

Freie Universität Berlin
FAQ

Frequently asked questions about Christopher Bronner

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

What company does Christopher Bronner work for?

Christopher Bronner works for The Knot Worldwide.

What is Christopher Bronner's role at The Knot Worldwide?

Christopher Bronner is listed as Lead Machine Learning Scientist at The Knot Worldwide.

Where is Christopher Bronner based?

Christopher Bronner is based in United States, United States, United States while working with The Knot Worldwide.

What companies has Christopher Bronner worked for?

Christopher Bronner has worked for The Knot Worldwide, Weddingwire, University Of California, Berkeley, Berkeley Graduate Data Science Organization Workshop, and University Of Heidelberg.

How can I contact Christopher Bronner?

You can use AeroLeads to view verified contact signals for Christopher Bronner at The Knot Worldwide, including work email, phone, and LinkedIn data when available.

What schools did Christopher Bronner attend?

Christopher Bronner holds Doctor Of Philosophy (Phd), Physics from Freie Universität Berlin.

What skills is Christopher Bronner known for?

Christopher Bronner is listed with skills including Research, Physics, Data Analysis, Latex, Python, Machine Learning, R, and Data Visualization.

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