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Whitney Jablonski, Ph.D. Email & Phone Number

Director Quantitative Modeling at S&P Global
Location: Denver, Colorado, United States 8 work roles 4 schools
1 work email found @spglobal.com 1 phone found area 303 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email w****@spglobal.com
Direct phone (303) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Director Quantitative Modeling
Location
Denver, Colorado, United States
Company size

Who is Whitney Jablonski, Ph.D.? Overview

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Quick answer

Whitney Jablonski, Ph.D. is listed as Director Quantitative Modeling at S&P Global, a company with 16 employees, based in Denver, Colorado, United States. AeroLeads shows a work email signal at spglobal.com, phone signal with area code 303, and a matched LinkedIn profile for Whitney Jablonski, Ph.D..

Whitney Jablonski, Ph.D. previously worked as Associate Model SME at S&P Global and Quantitative Analyst, Data Science & Analytics at S&P Global. Whitney Jablonski, Ph.D. holds Graduate Certificate, Data Science from Harvard Extension School.

Company email context

Email format at S&P Global

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*@spglobal.com
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AeroLeads found 1 current-domain work email signal for Whitney Jablonski, Ph.D.. Compare company email patterns before reaching out.

Profile bio

About Whitney Jablonski, Ph.D.

Quant and Data Scientist with excellent troubleshooting skills, fantastic analytical intuition and an expert in predictive modeling and machine learning. Python and R expert with extensive experience in SQL and ETL. Lead projects and managed technical staff with budgets of $1MM+. Passionate about finding better data pipelines, solving critical business issues, and maximizing troubleshooting efficiency.

Listed skills include Renewable Energy, Chemical Engineering, Project Management, Materials Science, and 44 others.

Current workplace

Whitney Jablonski, Ph.D.'s current company

Company context helps verify the profile and gives searchers a useful next step.

S&P Global
S&P Global
Director Quantitative Modeling
Denver, CO, US
Employees
16
AeroLeads page
8 roles · 16 years

Whitney Jablonski, Ph.D. work experience

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

Director Quantitative Modeling

Denver, CO, US

Director Quantitative Modeling

Current

New York, NY, US

Jun 2023 - Present

Associate Model Sme

New York, NY, US

Aug 2020 - Jun 2023

Quantitative Analyst, Data Science & Analytics

New York, NY, US

Jan 2019 - Aug 2020

Analyst, Quantitative Analysis

New York, NY, US

Dec 2017 - Feb 2019

Consultant / Co-Owner

Teocalli Engineering Creative
Dec 2013 - Dec 2017

Senior Research Engineer

Golden, CO, US

  • Expert in biomass gasification systems design, fabrication, installation,and development.
  • Designed and executed experiments to research the effect of feedstockson the quality of syngas including hydrocarbons (e.g., CH4, C2H2,C2H4), inorganic species (e.g., H2S, SO2, HCl, NH3), and tars (e.g..
  • Developed algorithms for rational development, synthesis and testing of nickel-based hydrocarbon steam and dry reforming catalysts
  • Extensive experience in the design, fabrication, safety analysis, and implementationof bench to pilot scale high temperature reactor systems that are fully automated with control (SCADA) systems
  • Chosen to integrate and lead high-stakes, high-profile demonstration of abiomass-to-hydrocarbon liquids technology involving more than 10 unitoperations from 3 cross-cutting groups
  • Performed statistical analyses on datasets of >10,000 points such as principle component analysis (PCA), multivariate curve resolution (MCR), and partial least squares regression (PLS) to identify relationships between.
Jul 2007 - Nov 2016

Graduate Research Associate

Golden, CO, US

  • Developed a system of differential algebraic equations (DAEs) from a discretized set of partial differential equations (PDEs) derived from the 3-dimensional analysis of a fixed bed catalyst system
  • Programmed the discretized set of ordinary differential equations (ODEs) to solve over a set of realistic experimental conditions using Matlab (ODE15s) and Python (Assimulo, SciKits, Pydas, PySundials)
2010 - Nov 2015
4 education records

Whitney Jablonski, Ph.D. education

Graduate Certificate, Data Science

Harvard Extension School

Doctor Of Philosophy (Ph.D.), Chemical Engineering

Colorado School Of Mines

Education record

George School

Bachelor Of Science (B.S.), Chemical Engineering

Northeastern University
FAQ

Frequently asked questions about Whitney Jablonski, Ph.D.

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

What company does Whitney Jablonski, Ph.D. work for?

Whitney Jablonski, Ph.D. works for S&P Global.

What is Whitney Jablonski, Ph.D.'s role at S&P Global?

Whitney Jablonski, Ph.D. is listed as Director Quantitative Modeling at S&P Global.

What is Whitney Jablonski, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @spglobal.com for Whitney Jablonski, Ph.D. at S&P Global.

What is Whitney Jablonski, Ph.D.'s phone number?

AeroLeads has found 1 phone signal(s) with area code 303 for Whitney Jablonski, Ph.D. at S&P Global.

Where is Whitney Jablonski, Ph.D. based?

Whitney Jablonski, Ph.D. is based in Denver, Colorado, United States while working with S&P Global.

What companies has Whitney Jablonski, Ph.D. worked for?

Whitney Jablonski, Ph.D. has worked for S&P Global, Teocalli Engineering Creative, National Renewable Energy Laboratory, and Colorado School Of Mines.

How can I contact Whitney Jablonski, Ph.D.?

You can use AeroLeads to view verified contact signals for Whitney Jablonski, Ph.D. at S&P Global, including work email, phone, and LinkedIn data when available.

What schools did Whitney Jablonski, Ph.D. attend?

Whitney Jablonski, Ph.D. holds Graduate Certificate, Data Science from Harvard Extension School.

What skills is Whitney Jablonski, Ph.D. known for?

Whitney Jablonski, Ph.D. is listed with skills including Renewable Energy, Chemical Engineering, Project Management, Materials Science, Biofuels, Engineering, Matlab, and Process Engineering.

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