Phelim Bradley

Co-founder and CEO at prolific.com

Co-founder

Prolific· Summer 2019 🇬🇧 London, England, United Kingdom

in LinkedIn 𝕏 @phelimb

2023Venture Partner· Pioneer Fund

Founder · since 2014

Company

Pioneer Fund

Role

Venture Partner

current

Stage

—

no public source

Raised

—

no public source

Based

—

Founder / co-founder — the company's markEmployee / research role

Source: LinkedIn work history

Profile coverage5 of 7 · missing posts, contact

Prolific

Making diverse, high-quality data easily available to anyone, anywhere

Summer 2019

Experience

Career

Prolific
CEO · 2021 – Present
2021
Prolific
Co-founder
CTO · London, United Kingdom · 2014 – 2021
2014
Pioneer Fund
Venture Partner · 2023 – Present
2023
Prolific
CEO · 2021 – Present
2021
Prolific
Co-founder
CTO · London Area, United Kingdom · 2014 – 2021
2014
Wellcome Trust Centre for Human Genetics, University of Oxford
DPhil – Genomic Medicine and Statistics · 2013 – 2018
2013
Illumina
Bioinformatics Intern · Greater Cambridge Area · 2013
2013
University of Cambridge
MPhil – Computational Biology · 2012 – 2013
2012
Tyndall National Institute
Researcher · Cork, Ireland · 2011 – 2012
2011
University College Cork, Ireland (UCC)
Computational Physics Lab Demonstrator · Cork, Ireland · 2011 – 2012
2011
University of California, Berkeley
Open Educational Resources Researcher · Berkeley, California · 2011
2011
International House
Resident Assitant · Berkeley, California · 2011
2011
University of California, Berkeley
Undergraduate Researcher · 2010
2010
Cornell University
Undergraduate Researcher · Ithaca, New York Area · 2010
2010
Self-Employed
Private Tutor in Physics, Maths and Science (to ages 15-20) · Cork, Ireland · 2009 – 2010
2009

Bio

Co-Founder and CEO of prolific.co.Prolific is a platform that makes it easy to run high quality online research. We manage a diverse pool of 100,000+ verified participants and provide access to an ecosystem of tools to run research on them. Previously, I did a PhD in Bioinformatics, where I wrote software to analyze and search bacterial data sets using graph data structures.