Daniel Pollard
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Daniel Pollard Email & Phone Number

Associate Professor at Western Washington University
Location: Bellingham, Washington, United States 12 work roles 2 schools
1 work email found @nyu.edu 4 phones found area 510, 858, and 212 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email d****@nyu.edu
Direct phone (510) ***-****
LinkedIn Profile matched
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Role
Associate Professor
Location
Bellingham, Washington, United States
Company size

Who is Daniel Pollard? Overview

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Quick answer

Daniel Pollard is listed as Associate Professor at Western Washington University, a with 5 employees, based in Bellingham, Washington, United States. AeroLeads shows a work email signal at nyu.edu, phone signal with area code 510, 858, 212, and a matched LinkedIn profile for Daniel Pollard.

Daniel Pollard previously worked as Assistant Professor at Western Washington University and Project Scientist at Uc San Diego. Daniel Pollard holds Phd, Biophysics/Computation & Genomic Biology from University Of California, Berkeley.

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*@nyu.edu
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Profile bio

About Daniel Pollard

I am a geneticist interested in evolution and development with a specific interest in the evolution of gene expression networks. I am also a musician.

Listed skills include Genomics, Bioinformatics, Genetics, Molecular Biology, and 30 others.

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Western Washington University
Western Washington University
Associate Professor
Bellingham, WA, US
Website
Employees
5
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12 roles · 29 years

Daniel Pollard work experience

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Associate Professor

Current

Bellingham, Washington, United States

My lab is discovering the molecular mechanisms underlying natural variation in protein production and degradation. Our system is pheromone response in wild strains of the budding yeast S. cerevisiae. I teach Genetics, Biostatistics, & Genomic Data Analysis.

Sep 2021 - Present

Assistant Professor

Bellingham, Washington Area

My lab is discovering the molecular mechanisms underlying natural variation in protein production and degradation. Our system is pheromone response in wild strains of the budding yeast S. cerevisiae. I teach Genetics, Biostatistics, & Genomic Data Analysis.

Apr 2015 - Sep 2021

Project Scientist

Greater San Diego Area

Laboratory of Scott Rifkin. Probing the effects of natural variation in gene expression on protein production and abundance in the context of mating pheromone response in yeast.

Apr 2014 - Nov 2014

Postdoc Fellow

Greater San Diego Area

Laboratory of Scott Rifkin. Probing the effects of natural variation in gene expression on protein production and abundance in the context of mating pheromone response in yeast.

Dec 2010 - Mar 2014

Postdoc Fellow

Greater New York City Area

Laboratory of Matthew Rockman. Applied quantitative genetics methods to study RNAi and gene expression variation in C. elegans.

2008 - Nov 2010

Graduate Student

San Francisco Bay Area

Laboratory of Michael Eisen. Developed comparative genomics infrastructure and investigated evolutionary constraints and dynamics of cis-regulatory sequences in Drosophila. Projects included generating annotations and synteny maps for sequenced insects, testing impact of alignment inaccuracies on inferences of regulatory element conservation and divergence, investigating incongruence in the Drosophila phylogeny, estimating selective constraints on regulatory sequences and modeling and measuring rates of transcription factor binding site turnover.

2001 - 2007 ~6 yrs

Scientist

San Francisco Bay Area

Laboratory of Michael Eisen. Developed comparative genomics infrastructure and investigated evolutionary constraints and dynamics of cis-regulatory sequences in Drosophila. Projects included generating annotations and synteny maps for sequenced insects, testing impact of alignment inaccuracies on inferences of regulatory element conservation and divergence, investigating incongruence in the Drosophila phylogeny, estimating selective constraints on regulatory sequences and modeling and measuring rates of transcription factor binding site turnover.

2001 - 2007 ~6 yrs

Research Assistant

Greater Boston Area

Laboratory of Lewis Cantley. Examined activation, regulation and downstream targets of phosphoinositide kinases using biochemical, cell biological, physiological and bioinformatic techniques in transgenic mice and human cell lines.

1998 - 2001 ~3 yrs

Research Assistant

Greater Boston Area

Laboratory of Lewis Cantley. Examined activation, regulation and downstream targets of phosphoinositide kinases using biochemical, cell biological, physiological and bioinformatic techniques in transgenic mice and human cell lines.

1998 - 2001 ~3 yrs
2 education records

Daniel Pollard education

FAQ

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What company does Daniel Pollard work for?

Daniel Pollard works for Western Washington University.

What is Daniel Pollard's role at Western Washington University?

Daniel Pollard is listed as Associate Professor at Western Washington University.

What is Daniel Pollard's email address?

AeroLeads has found 1 work email signal at @nyu.edu for Daniel Pollard at Western Washington University.

What is Daniel Pollard's phone number?

AeroLeads has found 4 phone signal(s) with area code 510, 858, 212 for Daniel Pollard at Western Washington University.

Where is Daniel Pollard based?

Daniel Pollard is based in Bellingham, Washington, United States while working with Western Washington University.

What companies has Daniel Pollard worked for?

Daniel Pollard has worked for Western Washington University, Uc San Diego, New York University, University Of California, Berkeley, and Lawrence Berkeley National Laboratory.

How can I contact Daniel Pollard?

You can use AeroLeads to view verified contact signals for Daniel Pollard at Western Washington University, including work email, phone, and LinkedIn data when available.

What schools did Daniel Pollard attend?

Daniel Pollard holds Phd, Biophysics/Computation & Genomic Biology from University Of California, Berkeley.

What skills is Daniel Pollard known for?

Daniel Pollard is listed with skills including Genomics, Bioinformatics, Genetics, Molecular Biology, Molecular Cloning, Fluorescence Microscopy, Comparative Genomics, and Laboratory.

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