Haley Speed Dec
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Haley Speed Dec Email & Phone Number

Associate Director, Predictive Risk Intelligence at Bristol Myers Squibb
Location: Seattle, Washington, United States 6 work roles 2 schools
1 work email found @bms.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Role
Associate Director, Predictive Risk Intelligence
Location
Seattle, Washington, United States
Company size

Who is Haley Speed Dec? Overview

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Quick answer

Haley Speed Dec is listed as Associate Director, Predictive Risk Intelligence at Bristol Myers Squibb, a with 38469 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at bms.com and a matched LinkedIn profile for Haley Speed Dec.

Haley Speed Dec previously worked as Senior Manager, Business Insights & Analytics/Global Product Supply for Cell Therapy at Bristol Myers Squibb and Insight Data Science Fellow at Insight Data Science Fellowship. Haley Speed Dec holds Ph.D., Neurobiology/Physiology from University Of Alabama At Birmingham.

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*@bms.com
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Profile bio

About Haley Speed Dec

I am a data scientist interested in the intersection of math, psychology, and economics. I use data mining and machine learning techniques to optimize pharmaceutical supply chains and build business value.

Listed skills include Ni Labview, Digital Painting, R, Medical Writing, and 27 others.

Current workplace

Haley Speed Dec's current company

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Bristol Myers Squibb
Bristol Myers Squibb
Associate Director, Predictive Risk Intelligence
Seattle, WA, US
Website
Employees
38469
AeroLeads page
6 roles

Haley Speed Dec work experience

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

Senior Manager, Business Insights & Analytics/Global Product Supply For Cell Therapy

Seattle, Washington, United States

Data Science | Healthcare Analytics

Insight Data Science Fellow

Insight Data Science Fellowship

Seattle, Washington, United States

Designed and implemented SubScript, a Python and mySQL web application for subscription services to retain customer volume. SubScript is built on a random forest machine learning model that predicts customer engagement for the next subscription period using the subscriber's in-service history. If a customer is flagged as at-risk for disengagement and likely to churn, SubScript recommends timely, relevant content to reengage the subscriber. A second hypothetical prediction estimates the success and revenue retention of the curated content suggestions.

May 2020 - Sep 2020

Research Scientist Iv

Seattle Children'S

Greater Seattle Area

I built a pipeline and mySQL database with signal processing, time series analysis, and unsupervised clustering routines in Python and R to reconstruct neural networks underlying motor learning and sensory processing. I also programmed a suite of Python scripts to manage and analyze big data from ultra-high density neural probes (up to 1024 channels at 30kHz sampling) for large network analysis. Finally, I uncovered a novel mechanism of direct electrical communication between neurons of the brainstem using signal processing and time series analysis in Python and R.

Apr 2018 - May 2020

Research Faculty

Dallas, Texas, United States

I implemented and programmed $300,000 in custom brain recording electronics for brain research using Python and Labview, saving $15,000 in pre-packaged commercial software. I performed signal processing in Python and R using time series analysis and digitally reconstructed neurons as efficacy metrics in animal drug trials. I also managed a team of 6 graduate and undergraduate students using multivariate statistics in R to understand how abnormal brain activity contributes to cognitive impairment. Lastly, I obtained $700,000 in independent funding, published eight manuscripts in high-ranking journals, and supervised 17 trainees in brain recording techniques over 9 years.

Jul 2008 - Mar 2018

Chemistry Technician

Biolab Inc

Decatur, Georgia, United States

I developed industrial biological water additives at both the development and production levels. Responsibilities included flow dynamics, spectroscopy, and formulation to determine which novel formulations were most stable. I also ensured compatibility with delivery systems in the field.

Jan 2002 - Aug 2002
Team & coworkers

Colleagues at Bristol Myers Squibb

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2 education records

Haley Speed Dec education

FAQ

Frequently asked questions about Haley Speed Dec

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

What company does Haley Speed Dec work for?

Haley Speed Dec works for Bristol Myers Squibb.

What is Haley Speed Dec's role at Bristol Myers Squibb?

Haley Speed Dec is listed as Associate Director, Predictive Risk Intelligence at Bristol Myers Squibb.

What is Haley Speed Dec's email address?

AeroLeads has found 1 work email signal at @bms.com for Haley Speed Dec at Bristol Myers Squibb.

Where is Haley Speed Dec based?

Haley Speed Dec is based in Seattle, Washington, United States while working with Bristol Myers Squibb.

What companies has Haley Speed Dec worked for?

Haley Speed Dec has worked for Bristol Myers Squibb, Insight Data Science Fellowship, Seattle Children'S, Ut Southwestern Medical Center, and Biolab Inc.

Who are Haley Speed Dec's colleagues at Bristol Myers Squibb?

Haley Speed Dec's colleagues at Bristol Myers Squibb include Edward Mikalsen, Michelle Messier, Kim Namsoo, Mary Olakangil, and Natasa Vulic.

How can I contact Haley Speed Dec?

You can use AeroLeads to view verified contact signals for Haley Speed Dec at Bristol Myers Squibb, including work email, phone, and LinkedIn data when available.

What schools did Haley Speed Dec attend?

Haley Speed Dec holds Ph.D., Neurobiology/Physiology from University Of Alabama At Birmingham.

What skills is Haley Speed Dec known for?

Haley Speed Dec is listed with skills including Ni Labview, Digital Painting, R, Medical Writing, Cell Biology, Electrophysiology, Western Blotting, and Animal Models.

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