Ben Bowles Email & Phone Number
@adobe.com
6 phones found area 650 and 415
LinkedIn matched
Who is Ben Bowles? Overview
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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.
Email format at Adobe
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AeroLeads found 1 current-domain work email signal for Ben Bowles. Compare company email patterns before reaching out.
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.
Ben Bowles's current company
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Ben Bowles work experience
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Data Science Advisor
Advise the Flywheel Founders and engineering team on machine learning theory and applications.
Software Engineer (Machine Learning)
Ranking and deep learning models related to questions, answers, and topics.
Data Scientist
Data Scientist
• 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
Data Science Fellow
-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.
Postdoctoral Fellow
-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.
Postdoctoral Fellow
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.
Graduate Student
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
Data Analyst
Used general linear models and multivariate pattern classification to analyze brain imaging data and infer group differences between clinical and neurotypical populations
Researcher
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
Research Intern
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
Colleagues at Adobe
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Shubham Kambale
Colleague at AdobeAhmedabad, Gujarat, India
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Elma Teana
Colleague at AdobeBanjarmasin, South Kalimantan, Indonesia
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Siya Kalra
Colleague at AdobeDelhi, India
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Nicolly Kimberly
Colleague at AdobeSão Paulo, Brazil
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Aswathy S
Colleague at AdobeKozhikode, Kerala, India
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Ratib Alnawaiseh
Colleague at AdobeAmman, Jordan
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NC
Nick Chavez
Colleague at AdobeNashville, Tennessee, United States
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BD
Brendan Downes
Colleague at AdobeGreater Perth Area, Australia
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Kai Patrick Kielburger
Colleague at AdobeFrankfurt, Hesse, Germany
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Malay Shah
Colleague at AdobeNoida, Uttar Pradesh, India
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Ben Bowles education
Doctor Of Philosophy (Phd), Neuroscience
Master Of Science (M.Sc.), Neuroscience
Bachelor Of Science (B.Sc.), Neuroscience
Frequently asked questions about Ben Bowles
Quick answers generated from the profile data available on this page.
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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