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Robin Dowell Email & Phone Number

Location: Broomfield, Colorado, United States 11 work roles 2 schools
1 work email found @arpeggiobiosciences.com 2 phones found area 303 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email r****@arpeggiobiosciences.com
Direct phone (303) ***-****
LinkedIn Profile matched
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Role
Professor
Location
Broomfield, Colorado, United States

Who is Robin Dowell? Overview

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Quick answer

Robin Dowell is listed as Professor at University of Colorado Boulder, based in Broomfield, Colorado, United States. AeroLeads shows a work email signal at arpeggiobiosciences.com, phone signal with area code 303, and a matched LinkedIn profile for Robin Dowell.

Robin Dowell previously worked as Associate Professor at University Of Colorado Boulder and Assistant Professor at University Of Colorado At Boulder. Robin Dowell holds D.Sc., Biomedical Engineering from Washington University In St. Louis.

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Email format at University of Colorado Boulder

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{first_initial}{last}@arpeggiobiosciences.com
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AeroLeads found 1 current-domain work email signal for Robin Dowell. Compare company email patterns before reaching out.

Profile bio

About Robin Dowell

Computational biologist that leverages machine learning approaches (predominantly probabilistic models) to genomics focused problems. My laboratory focuses on transcriptional regulation and non-coding transcripts. We leverage nascent transcription assays and other high throughput datasets to infer the activity of transcription factors, the impact of non-coding variation, and how these elements alter cellular polymerase activity. Specialties: Probabilistic modeling, computational biology, genetics, machine learning, transcription, regulation, comparative genomics, aneuploidy, RNA secondary structure prediction, bioinformatics

Listed skills include Computational Biology, Genomics, Genetics, Biochemistry, and 11 others.

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University of Colorado Boulder
University Of Colorado Boulder
Professor
Broomfield, CO, US
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11 roles

Robin Dowell work experience

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Postdoctoral Fellow

Mit

Developed Sigma1278b strain of Saccharomyces cerevisiae as model system for comparative genomics -- sequenced, transcriptome profiled, and built deletion library.Compared transcription factor binding locations between mouse and human hepatocytes. Showed that binding locations show high turn-over rate.Developed novel approaches to ChIP-chip peak calling (using shear distribution as a prior on shape of peak), clustering expression profiles (using dirichlet methods and topic models), and for detecting transcription in tiling microarrays.

Jan 2005 - Aug 2009

Graduate Student

Howard Hughes Predoctoral Fellow (1997-2002); Spencer T. Olin Fellowship (2002-2004).Doctoral: Worked in the lab of Dr. Sean Eddy (Howard Hughes Investigator; Department of Genetics) on probabilistic modeling tools for RNAs. Build stochastic context-free grammar models for RNA folding and for simultaneous folding and alignment of structural RNAs.Masters: Design and development of the distributed annotation system (DAS) . I worked closely with Dr. Lincoln Stein at Cold Spring Harbor Laboratory to develop the initial specification, prototype server and prototype client.

Sep 1997 - Dec 2004

Webpage Manager

Department Of Biochemistry And Biophysics

Designed, implemented, and maintained the first website for the Department of Biochemistry and Biophysics as well as the Intercollegiate Faculty of Genetics.

Oct 1995 - May 1997

Computer Information Services Technician

Provided help desk services and printer maintenance for on campus computer centers.

Jul 1994 - Oct 1995

Intern Programmer

I built a graphical user interface (in Tcl/Tk) for the rapid drawing of contig maps. In May of 1996, I received a Best Presentation distinction at the Senior Undergraduate Research Symposium. My undergraduate research adviser was Dr. Walter Daugherity at Texas A&M University. The work began at Baylor College of Medicine where I worked with Mark Graves and Ellen R. Bergeman.

May 1995 - Aug 1995

Veterinary Technician

Post Oak Willowbend Animal Clinc

Veterinary assistant, simple on-site laboratory work, surgery assistance, boarding facility upkeep (feeding, walking, cleaning), secretarial work.

Jun 1990 - Jun 1994
2 education records

Robin Dowell education

D.Sc., Biomedical Engineering

Activities and Societies: Olin Conference Planning Committee Graduate Research Symposium JudgeD.Sc. in Biomedical Engineering.

B.S., Computer Engineering

Activities and Societies: Undergraduate Journal of ScienceReceived two separate B.S. degrees: B.S. in Genetics (1997) B.S. in Computer.

FAQ

Frequently asked questions about Robin Dowell

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

What company does Robin Dowell work for?

Robin Dowell works for University of Colorado Boulder.

What is Robin Dowell's role at University of Colorado Boulder?

Robin Dowell is listed as Professor at University of Colorado Boulder.

What is Robin Dowell's email address?

AeroLeads has found 1 work email signal at @arpeggiobiosciences.com for Robin Dowell at University of Colorado Boulder.

What is Robin Dowell's phone number?

AeroLeads has found 2 phone signal(s) with area code 303 for Robin Dowell at University of Colorado Boulder.

Where is Robin Dowell based?

Robin Dowell is based in Broomfield, Colorado, United States while working with University of Colorado Boulder.

What companies has Robin Dowell worked for?

Robin Dowell has worked for University Of Colorado Boulder, University Of Colorado At Boulder, Arpeggio Biosciences, Mit, and Washington University In St Louis.

How can I contact Robin Dowell?

You can use AeroLeads to view verified contact signals for Robin Dowell at University of Colorado Boulder, including work email, phone, and LinkedIn data when available.

What schools did Robin Dowell attend?

Robin Dowell holds D.Sc., Biomedical Engineering from Washington University In St. Louis.

What skills is Robin Dowell known for?

Robin Dowell is listed with skills including Computational Biology, Genomics, Genetics, Biochemistry, Bioinformatics, R, Molecular Biology, and Machine Learning.

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