Eric Barnhill Email & Phone Number
@irhythmtech.com
LinkedIn matched
Who is Eric Barnhill? Overview
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Eric Barnhill is listed as Staff Clinical Research Data Scientist at Dexcom, a with 7963 employees, based in Salt Lake City, Utah, United States. AeroLeads shows a work email signal at irhythmtech.com and a matched LinkedIn profile for Eric Barnhill.
Eric Barnhill previously worked as Lead Research Engineer at Irhythm Technologies, Inc. and Senior Research Engineer at Irhythm Technologies, Inc.. Eric Barnhill holds Doctor Of Philosophy - Phd, Medical Physics from The University Of Edinburgh.
Email format at Dexcom
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AeroLeads found 2 current-domain work email signals for Eric Barnhill. Compare company email patterns before reaching out.
About Eric Barnhill
Ten years of combined experience (five industry, five academia) in biomedical signal processing, data engineering and data science. I delight in finding new insights into the human condition via contemporary signals and sensors.
Listed skills include Image Processing, Statistical Modeling, Machine Learning, Matlab, and 9 others.
Eric Barnhill's current company
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Eric Barnhill work experience
A career timeline built from the work history available for this profile.
Lead Research Engineer
• I manage a team leading research and engineering for upstream experimental products. My team delivers data science, signal processing, data engineering and scientific investigation.• Designed, developed, built clinical research data warehouse that unlocked a USD 1.3M Research as a Service (RaaS) revenue stream• Provided modeling and analysis for alternative QA techniques which reduced QA time on some records by 80%, saving ~USD 1.07M / yr in 2023• Co-developed deep learning methods for arrhythmia risk prediction with Scripps Institute, published in Nature Digital Medicine (https://www.nature.com/articles/s41746-023-00966-w)• Built numerous cloud-based microservices that reduced processing time on some large scale jobs by 96.7%, accelerating internal research initiatives
Senior Research Engineer
Research Engineer
Health Data Science Fellow
• Created ImagingEdge, a system for early detection of research trends in the field of diagnostic imaging• Combined Biopython, Jupyter, NLTK, NetworkX, Flask and Heroku to generate a semi-supervised, persistent web app that scrapes web sites containing radiological research and delivers trending topics• Application graph has parsed over 1M research documents and identifies trends that anticipate increases in Web of Science output measures
Research Scientist
• Conducted original research in experimental brain imaging • Fused innovations in signal processing (wavelet analysis, signal denoising, filter design) with research software engineering (Matlab, Java, Keras) and statistical modelling (R, JAGS, Stan)• Created MREdge, the first automated, web-based pipeline for MR Elastography imaging (bioqic-apps.charite.de), with over 35 active users in 18 countries (over 325,000 visits)• Initiated collaborations with senior scholars at 5 universities that resulted in first-in-field publications for these scholars (CRNS, IIT Delhi, NYU, Bilkent, Strathclyde)
Confidence In Concept Research Fellow
• Converted patent-protected image processing innovations from PhD thesis into a commerciallyviable product (Java, C++, Halide). Awarded patent and renewal ( GB1502412.3 PCT/GB2010/051401)• Created PhaseTools, a Java/ImageJ-based image processing app (git.io/f8TvE). Over 4 years ~250clones and ~1000 unique visitors• Initiated collaborations with Mount Sinai Medical Center and Albert Einstein College of Medicine to apply product to their in-house analyses
Phd Researcher
My PhD thesis focused on image processing for an experimental imaging technique called Magnetic Resonance Elastography (MRE). It incorporated coding in Java (especially ImageJ), Matlab, and R.
Colleagues at Dexcom
Other employees you can reach at dexcom.com. View company contacts for 7963 employees →
Cindy Wen, Ccrp
Colleague at DexcomSan Diego County, California, United States
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SM
Sean Martel
Colleague at DexcomTempe, Arizona, United States
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AB
Aurelija Berankienė
Colleague at DexcomKaunas, Kauno, Lithuania
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NF
Nurul Farhana Zezali
Colleague at DexcomPerai, Penang, Malaysia
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UM
Ugnė Marcinkevičiūtė
Colleague at DexcomVilnius, Vilniaus, Lithuania
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LW
Loh Wee Keat
Colleague at DexcomAir Itam, Penang, Malaysia
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CS
Choon Siang Lim
Colleague at DexcomPenang, Malaysia
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SK
Suresh Kumar Deventhiran
Colleague at DexcomSimpang Empat, Penang, Malaysia
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SA
Syafiq Ahmad
Colleague at DexcomSimpang Empat, Penang, Malaysia
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KA
Ken Antonio Santillan Galaviz
Colleague at DexcomTijuana, Baja California, Mexico
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Eric Barnhill education
Doctor Of Philosophy - Phd, Medical Physics
Master Of Music, Piano Performance
Bachelor Of Arts - Ba, Music
Frequently asked questions about Eric Barnhill
Quick answers generated from the profile data available on this page.
What company does Eric Barnhill work for?
Eric Barnhill works for Dexcom.
What is Eric Barnhill's role at Dexcom?
Eric Barnhill is listed as Staff Clinical Research Data Scientist at Dexcom.
What is Eric Barnhill's email address?
AeroLeads has found 2 work email signals at @irhythmtech.com for Eric Barnhill at Dexcom.
Where is Eric Barnhill based?
Eric Barnhill is based in Salt Lake City, Utah, United States while working with Dexcom.
What companies has Eric Barnhill worked for?
Eric Barnhill has worked for Dexcom, Irhythm Technologies, Inc., Insight Data Science, Charité, and The University Of Edinburgh.
Who are Eric Barnhill's colleagues at Dexcom?
Eric Barnhill's colleagues at Dexcom include Cindy Wen, Ccrp, Sean Martel, Aurelija Berankienė, Nurul Farhana Zezali, and Ugnė Marcinkevičiūtė.
How can I contact Eric Barnhill?
You can use AeroLeads to view verified contact signals for Eric Barnhill at Dexcom, including work email, phone, and LinkedIn data when available.
What schools did Eric Barnhill attend?
Eric Barnhill holds Doctor Of Philosophy - Phd, Medical Physics from The University Of Edinburgh.
What skills is Eric Barnhill known for?
Eric Barnhill is listed with skills including Image Processing, Statistical Modeling, Machine Learning, Matlab, R, Python, Java, and Keras.
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