Ben Bowles
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Ben Bowles Email & Phone Number

Machine Learning Scientist, Adobe Intelligent Agents at Adobe at Adobe
Location: Mountain View, California, United States 12 work roles 3 schools
1 work email found @adobe.com 6 phones found area 650 and 415 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email b****@adobe.com
Direct phone (650) ***-****
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Current company
Role
Machine Learning Scientist, Adobe Intelligent Agents at Adobe
Location
Mountain View, California, United States
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Who is Ben Bowles? Overview

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Quick answer

Ben Bowles is listed as Machine Learning Scientist, Adobe Intelligent Agents at Adobe at Adobe, a with 25166 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at adobe.com, phone signal with area code 650, 415, and a matched LinkedIn profile for Ben Bowles.

Ben Bowles previously worked as Applied Machine Learning Scientist, Adobe Intelligent Agents at Adobe and Data Science Advisor at Flywheel Technologies. Ben Bowles holds Doctor Of Philosophy (Phd), Neuroscience from The University Of Western Ontario.

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{first_initial}{last}@adobe.com
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Profile bio

About Ben Bowles

Ben Bowles is a Machine Learning Scientist, Adobe Intelligent Agents at Adobe at Adobe. He possess expertise in data analysis, statistics, experimental design, research, python and 26 more skills. He is proficient in French, Python and Matlab.

Listed skills include Data Analysis, Statistics, Experimental Design, Research, and 27 others.

Current workplace

Ben Bowles's current company

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Adobe
Adobe
Machine Learning Scientist, Adobe Intelligent Agents at Adobe
san jose, california, united states
Website
Employees
25166
AeroLeads page
12 roles

Ben Bowles work experience

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

Applied Machine Learning Scientist, Adobe Intelligent Agents

Current

San Francisco Bay Area

Oct 2018 - Present

Data Science Advisor

San Francisco Bay Area

Advise the Flywheel Founders and engineering team on machine learning theory and applications.

Jun 2019 - Oct 2019

Software Engineer (Machine Learning)

Mountain View

Ranking and deep learning models related to questions, answers, and topics.

Feb 2017 - Sep 2018

Data Scientist

San Francisco

May 2016 - Feb 2017

Data Scientist

Urx

San Francisco Bay Area

• Created and helped ship a machine learning algorithm aimed at dynamically creating search queries from publisher web pages, increasing search relevancy by 2X for some web domains.• Designed and conducted experiments with the online crowd-sourcing platform CrowdFlower to measure search result relevancy, employing various metrics such as nDCG and Kendall rank correlation.• Built a relevancy dashboard that showcased mobile-advertisement relevancy, involving a) a daily PySpark job, and b)… Show more • Created and helped ship a machine learning algorithm aimed at dynamically creating search queries from publisher web pages, increasing search relevancy by 2X for some web domains.• Designed and conducted experiments with the online crowd-sourcing platform CrowdFlower to measure search result relevancy, employing various metrics such as nDCG and Kendall rank correlation.• Built a relevancy dashboard that showcased mobile-advertisement relevancy, involving a) a daily PySpark job, and b) a front-end developed using tornado, JavaScript / JQuery, AJAX and Bootstrap.• Planned and analyzed results of an AB test focused on click-through rate, employing t-tests andcorrection for multiple-comparisons.• Used an internal wikipedia data index and other existing tools to design and prototype a short-textnamed entity recognition and disambiguation system.• Prototyped a machine learning model that predicted whether a disambiguated named entity was”relevant” to a publisher web page. Show less

Apr 2015 - May 2016

Data Science Fellow

Palo Alto

-Partnered with San-Francisco-based startup company URX to build a custom Named Entity -Recognition (NER) system using a Conditional Random Fields classifier that outperforms the established Stanford NLP standard by 50% for miscellaneous entities-Created a web app (http://entitizethis.info) that demos the NER classifier, and demonstrates the effectiveness of the NER system for document search using Elastic Search.

Jan 2015 - Apr 2015

Postdoctoral Fellow

University Of California, Berkeley

-Using graph theory and network analysis to derive novel insights about community organization of brain structures, using fMRI data. -Using transcranial magnetic stimulation to study the role of prefrontal regions in our ability to recognize previously encountered stimuli see: http://despolab.berkeley.edu/bbowles2/.-built a web app to visualize brain lesions in patients with traumatic brain injury and stroke.

Sep 2013 - Sep 2014

Postdoctoral Fellow

Stanford University, Stanford, Ca

Currently using high-resolution fMRI of medial temporal lobe subregions in combination with multivariate statistical techniques to derive novel insights about underlying mechanisms of memory encoding and retrieval.

Sep 2011 - Oct 2013

Graduate Student

University Of Western Ontario

University Of Western Ontario, London, Canada

Applied signal-detection models to better understand how people recognize famous names; supervised 3 senior honors psychology research projects; gave guest lectures in advanced statistical concepts; collaborated with clinicians to design memory tests for patients

Sep 2005 - Aug 2011

Data Analyst

University Hospital, London, Ontario

University Hospital, London, Ontario

Used general linear models and multivariate pattern classification to analyze brain imaging data and infer group differences between clinical and neurotypical populations

Sep 2005 - May 2006

Researcher

University Of Toronto International Health Organization

Toronto, Canada & Cambodia

Received a research award to conduct a 4-month survey study in Cambodia aimed at better understanding transportation barriers to healthcare in over 150 families; conducted focus groups, interviews, and contextual inquiries, and filed a completed report to the Cambodian government

May 2005 - Aug 2005

Research Intern

Toronto, Canada

Wrote Python scripts to complete automated web-searches in established online databases to identify proteins with specific amino acid sequences; information pertaining to each protein was organized and reported by consulting additional online resources

May 2004 - Aug 2004
Team & coworkers

Colleagues at Adobe

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3 education records

Ben Bowles education

Bachelor Of Science (B.Sc.), Neuroscience

Activities and Societies: Vice President of Neuroscience Student Organization

FAQ

Frequently asked questions about Ben Bowles

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What company does Ben Bowles work for?

Ben Bowles works for Adobe.

What is Ben Bowles's role at Adobe?

Ben Bowles is listed as Machine Learning Scientist, Adobe Intelligent Agents at Adobe at Adobe.

What is Ben Bowles's email address?

AeroLeads has found 1 work email signal at @adobe.com for Ben Bowles at Adobe.

What is Ben Bowles's phone number?

AeroLeads has found 6 phone signal(s) with area code 650, 415 for Ben Bowles at Adobe.

Where is Ben Bowles based?

Ben Bowles is based in Mountain View, California, United States while working with Adobe.

What companies has Ben Bowles worked for?

Ben Bowles has worked for Adobe, Flywheel Technologies, Quora, Quid, and Urx.

Who are Ben Bowles's colleagues at Adobe?

Ben Bowles's colleagues at Adobe include Shubham Kambale, Elma Teana, Siya Kalra, Nicolly Kimberly, and Aswathy S.

How can I contact Ben Bowles?

You can use AeroLeads to view verified contact signals for Ben Bowles at Adobe, including work email, phone, and LinkedIn data when available.

What schools did Ben Bowles attend?

Ben Bowles holds Doctor Of Philosophy (Phd), Neuroscience from The University Of Western Ontario.

What skills is Ben Bowles known for?

Ben Bowles is listed with skills including Data Analysis, Statistics, Experimental Design, Research, Python, Fmri, Neuroscience, and Cognitive Neuroscience.

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