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Christopher Burke Email & Phone Number

Senior Data Scientist - AI Modeler at FiscalNote
Location: Brookline, Massachusetts, United States 5 work roles 2 schools
1 work email found @tufts.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email c****@tufts.edu
LinkedIn Profile matched
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Current company
Role
Senior Data Scientist - AI Modeler
Location
Brookline, Massachusetts, United States

Who is Christopher Burke? Overview

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Quick answer

Christopher Burke is listed as Senior Data Scientist - AI Modeler at FiscalNote, based in Brookline, Massachusetts, United States. AeroLeads shows a work email signal at tufts.edu and a matched LinkedIn profile for Christopher Burke.

Christopher Burke previously worked as Senior Data Scientist, Risk Modeling at At-Bay and Principal Scientist at Karen Clark & Company. Christopher Burke holds Doctor Of Philosophy (Ph.D.), Soft Matter Physics from Tufts University.

Company email context

Email format at FiscalNote

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{first}.{last}@tufts.edu
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AeroLeads found 1 current-domain work email signal for Christopher Burke. Compare company email patterns before reaching out.

Profile bio

About Christopher Burke

I am a data scientist with 5 years of experience building core products using a combination of statistics, machine learning, and domain-specific knowledge. Combining deep mathematical understanding with high-level practical experience. Self-motivated and curious, always seeking data-driven solutions to challenging problems.

Listed skills include Physics, Mathematica, Simulations, Computational Physics, and 22 others.

Current workplace

Christopher Burke's current company

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FiscalNote
Fiscalnote
Senior Data Scientist - AI Modeler
AeroLeads page
5 roles

Christopher Burke work experience

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

Senior Data Scientist - Ai Modeler

Current

Washington, District Of Columbia, Us

Jan 2024 - Present

Senior Data Scientist, Risk Modeling

San Francisco, Ca, Us

- Developed in-house cyber catastrophe model, including ownership of the insured loss calculation implementation in Python and SQL.- Used statistical methods to develop model components from claims data and customer security scans.- Quantified the impact of Active CAT Management (ACM), i.e. the ability to actively work with insureds to limit claims aggregation as an event unfolds.

Dec 2022 - Sep 2023

Principal Scientist

Boston, Massachusetts, Us

Built catastrophe models to quantify risk due to natural disasters including wildfires, tornadoes, hail, floods, and extratropical cyclones.- Used a combination of machine learning, statistical, and physical simulation methods to build catastrophe model components based on a combination of insurer claims data and geospatial/weather data.- Developed and deployed to production Live Events to give customers up-to-date storm impacts, including the use of unsupervised clustering algorithm (DBSCAN) to track individual hail storms in radar data.- Optimized simulation code and employed HPC tools to simulate tens of thousands of years' worth of extreme weather events using AWS.- Lead effort to document simulation code in compliance with government regulations. Successfully passed code audit by the Florida Commission on Hurricane Loss Projection Methodology.

Nov 2018 - Nov 2022

Postdoctoral Researcher

Amherst, Massachusetts, Us

- Developed methodology for computationally reconstructing and analyzing the polymer nanostructures from high-resolution images, employing signal processing and graph machine learning techniques.- Invented and implemented a novel physics algorithm for simulating block copolymers with orientational interactions.

Sep 2016 - Oct 2018

Graduate Research Assistant

Medford, Massachusetts, Us

- Developed simulations and analysis tools to study packings of spherical particles confined to curved surfaces.- Performed numerical optimization to identify molecular configurations which optimize non-linear optical properties via Hessian analysis.- Employed graph Laplacian analysis to study the rigidity of sphere packings.- Mentored undergraduate students working on original research projects.- Developed and co-taught a computational physics course based on expert practices.

Sep 2011 - Aug 2016
2 education records

Christopher Burke education

Doctor Of Philosophy (Ph.D.), Soft Matter Physics

Tufts University

Bachelor’S Degree, Physics

Lehigh University
FAQ

Frequently asked questions about Christopher Burke

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

What company does Christopher Burke work for?

Christopher Burke works for FiscalNote.

What is Christopher Burke's role at FiscalNote?

Christopher Burke is listed as Senior Data Scientist - AI Modeler at FiscalNote.

What is Christopher Burke's email address?

AeroLeads has found 1 work email signal at @tufts.edu for Christopher Burke at FiscalNote.

Where is Christopher Burke based?

Christopher Burke is based in Brookline, Massachusetts, United States while working with FiscalNote.

What companies has Christopher Burke worked for?

Christopher Burke has worked for Fiscalnote, At-Bay, Karen Clark & Company, University Of Massachusetts Amherst, and Tufts University.

How can I contact Christopher Burke?

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

What schools did Christopher Burke attend?

Christopher Burke holds Doctor Of Philosophy (Ph.D.), Soft Matter Physics from Tufts University.

What skills is Christopher Burke known for?

Christopher Burke is listed with skills including Physics, Mathematica, Simulations, Computational Physics, Soft Matter, C, Python, and Langevin Dynamics.

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