Director Of Computational Biology
Current
Oct 2024 - Present
AeroLeads people directory · profile
Jörg Bredno Email & Phone Number
Computational Biology, Bioinformatics, Machine Learning, and Medical Imaging,
at
Everest Detection
1 work email found
@grail.com
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Computational Biology, Bioinformatics, Machine Learning, and Medical Imaging,
Location
San Francisco, California, United States
Who is Jörg Bredno? Overview
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Quick answer
Jörg Bredno is listed as Computational Biology, Bioinformatics, Machine Learning, and Medical Imaging, at Everest Detection, based in San Francisco, California, United States. AeroLeads shows a work email signal at grail.com and a matched LinkedIn profile for Jörg Bredno.
Jörg Bredno previously worked as Director of Computational Biology at Everest Detection and Principal Scientist and Director, Computational Biology at Grail, Inc.. Jörg Bredno holds Dipl.-Ing. (Equivalent To Master), Mechanical Engineering, Biomedical Engineering from Rwth Aachen University.
Company email context
Email format at Everest Detection
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{first_initial}{last}@grail.com
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Profile bio
About Jörg Bredno
Results-oriented innovator with proven ability to work with and guide interdisciplinary teams to bring science and machine learning into medical devices. Subject matter expert, technical and team lead in the fields of bioinformatics, medical imaging (radiology and digital pathology), and especially the use of machine learning in biomedical research and clinical applications. Unique track record spanning from the publication of fundamental science in oncology and cardiovascular diseases to the development of class C medical devices with prolific generation of intellectual property. Comfortable working with and managing teams in fast-paced startups, flexible rapid-growth environments, and companies with mature quality management system policies and procedures.70 scientific publications are listed in ORCiD at https://orcid.org/0000-0002-2302-233952 granted US patents are visible at https://patents.google.com/?inventor=bredno&country=US&status=GRANT&sort=new10 more recent pending US patent applications are visible at https://patents.google.com/?q=grail&inventor=bredno&country=US&status=APPLICATION&sort=new
Listed skills include Medical Imaging, Image Analysis, Medical Devices, Digital Pathology, and 24 others.
Current workplace
Jörg Bredno's current company
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7 roles
Jörg Bredno work experience
A career timeline built from the work history available for this profile.
Principal Scientist And Director, Computational Biology
- Identified, defined and developed new product features and capabilities for a multi-cancer early detection test based on cell-free DNA- Led a team using statistical analyses and machine learning to correlate cancer biology and clinical ground truth with results from next-generation sequencing assays- Selected sample sets from clinical studies or procured from vendors, supported the generation of version-controlled datasets to train machine learning classifiers on next-generation sequencing data, and characterized their performance
Aug 2021 - Oct 2024
Senior Staff Scientist, Imaging
- Developed and implemented strategies to collect and analyze radiology and pathology imaging data in multi-site clinical trials- Created in-house radiology and digital pathology image analysis capabilities
Jun 2017 - Aug 2021
Manager, Tissue Analytics
- Managed and led an R&D team that designed and implemented image analysis algorithms for automated quantitative analyses of whole-slide digital pathology images- Defined and executed R&D projects in collaboration with stakeholders from product development, assay development, anatomical pathology, and drug development
Sep 2015 - Jun 2017
Staff Scientist, Digital Pathology & Workflow
- Designed and implemented image analysis, computer vision, and machine learning for clinical and preclinical images in cancer research and companion diagnostics
Jun 2012 - Sep 2015
Senior Staff Scientist And Systems Engineer
Philips Healthcare
- Implemented image processing and physics corrections for a flat panel CT imaging system- Provided requirements analysis and design specifications for tomographic image reconstruction algorithms in hybrid SPECT/CT and PET/CT systems
Jan 2010 - Jun 2012
Senior Member Clinical Research Staff
- Clinical researcher at University of California, San Francisco for CT perfusion imaging- Basic research and development of clinically applicable imaging solutions for stroke therapy decisions
Jan 2008 - Dec 2009
2 education records
Jörg Bredno education
Dipl.-Ing. (Equivalent To Master), Mechanical Engineering, Biomedical Engineering
Rwth Aachen University
Dr.Rer.Nat. (Equivalent To Phd), Cs, Medical Image Analysis
Rwth Aachen University
FAQ
Frequently asked questions about Jörg Bredno
Quick answers generated from the profile data available on this page.
What company does Jörg Bredno work for?
Jörg Bredno works for Everest Detection.
What is Jörg Bredno's role at Everest Detection?
Jörg Bredno is listed as Computational Biology, Bioinformatics, Machine Learning, and Medical Imaging, at Everest Detection.
What is Jörg Bredno's email address?
AeroLeads has found 1 work email signal at @grail.com for Jörg Bredno at Everest Detection.
Where is Jörg Bredno based?
Jörg Bredno is based in San Francisco, California, United States while working with Everest Detection.
What companies has Jörg Bredno worked for?
Jörg Bredno has worked for Everest Detection, Grail, Inc., Ventana Medical Systems, Philips Healthcare, and Philips Research North America.
How can I contact Jörg Bredno?
You can use AeroLeads to view verified contact signals for Jörg Bredno at Everest Detection, including work email, phone, and LinkedIn data when available.
What schools did Jörg Bredno attend?
Jörg Bredno holds Dipl.-Ing. (Equivalent To Master), Mechanical Engineering, Biomedical Engineering from Rwth Aachen University.
What skills is Jörg Bredno known for?
Jörg Bredno is listed with skills including Medical Imaging, Image Analysis, Medical Devices, Digital Pathology, Image Processing, Digital Imaging, Biomedical Engineering, and Machine Learning.
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