Director Data Science And Ai Engineering
Current
Jun 2023 - Present
AeroLeads people directory · profile
David Noren Email & Phone Number
Director Data Science and AI Engineering
at
Philips
1 work email found
@philips.com
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Director Data Science and AI Engineering
Location
Cambridge, Massachusetts, United States
Who is David Noren? Overview
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Quick answer
David Noren is listed as Director Data Science and AI Engineering at Philips, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at philips.com and a matched LinkedIn profile for David Noren.
David Noren previously worked as Senior Scientist at Philips and Research Scientist at Rice University. David Noren holds Phd, Biomedical Engineering, Systems Biology, Angiogenesis from The Johns Hopkins University.
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{first}.{last}@philips.com
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Profile bio
About David Noren
• Professional experience leading data science teams and directly interfacing with product management, marketing, regulatory, intellectual property, and executive leadership.• Over 20 years of experience in computational research, data science, systems biology, algorithm development, and healthcare. • Direct experience using machine learning for biomarker discovery, proteomics, clinical decision support, and operational analytics from Real World Data (RWD).• Experience serving many key roles, including principal investigator, project leader, agile epic owner, agile product owner, agile scrum master, and data scientist. • Experience in need seeking, ideation, and value proposition creation. I enjoy interdisciplinary projects that challenge me to learn new skills and develop new expertise.
Listed skills include Matlab, Cell Culture, Cell Biology, Biomedical Engineering, and 14 others.
Current workplace
David Noren's current company
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7 roles · 29 years
David Noren work experience
A career timeline built from the work history available for this profile.
Senior Scientist
- 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐈𝐧𝐯𝐞𝐬𝐭𝐢𝐠𝐚𝐭𝐨𝐫 | 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐓𝐨𝐱𝐢𝐜 𝐄𝐱𝐩𝐨𝐬𝐮𝐫𝐞 (𝐍𝐎𝐓𝐄) (2020 - 2023)
- Leading team of 6 data scientist to develop ML algorithms that leverage large RWD (12+ hospitals) and wearable sensor technology to detect medication and chemical exposure
- Led clinical study collaboration with University of Augusta and Texas A&M University to collect patient data
- Awarded competitive funding from DTRA, US DOD (5.2M USD)𝐀𝐈 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐋𝐞𝐚𝐝 | 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐅𝐥𝐨𝐰 𝐂𝐚𝐩𝐚𝐜𝐢𝐭𝐲 𝐒𝐮𝐢𝐭𝐞 (𝐏𝐅𝐂𝐒) (2021 - 2023)
- Led the AI deployment, integration, and testing at customer site
- Directed mapping (HL7/FHIR) and collection of RWD from EMR for validation
Mar 2016 - Jun 2023
Research Scientist
- Rice University / MD Anderson Cancer Center
- National Library of Medicine (NLM) postdoctoral fellow (2014, 2015)
- Applying informatics/machine learning approach to study proteomics of Acute Meyeloid Leukemia
- Designing algorithms to integrate different types of data (multi-omics) for “big data” applications
- Organizing DREAM 9 Acute Meyeloid Leukemia Data Mining Challenge
Mar 2013 - Mar 2016
Graduate Research Assistant
- Pursued a systems biology approach to investigating endothelial cell phenotype selection
- Developed novel microfluidic technology to examine cell signaling and cell interactions in complex - chemical environemnts
- Examined calcium signaling in response to complex spatial stimuli
- Created fluorescent probes to examine cell signaling
- Developed probabilistic and ODE models describing signaling and phenotype responses
2003 - 2012
~9 yrs
Aerospace Engineer
- Specialized in the design and analysis of fluid and thermal systems
- Conducted advanced numerical simulations and analysis for rapid design and prototyping
- Designed and developed ISS microgravity experiments as part of a project team
- Designed and operated KC-135 “zero-g” flight experiments
- Developed and documented safety and operating procedures
Jul 1999 - Nov 2002
Graduate Research Assistant
- Conducted computational and experimental investigation of shear stress in blood vessel network
- Created computational model of fluid flow through arteriolar bifurcations
- Performed non-recovery animal surgery in preparation for experiments
- Conducted in vivo flow tracking experiments to measure velocity profiles
1998 - 1999
~1 yr
Research Assistant, Department Of Chemical Engineering
- Examined biofuel production via Clostridium thermocellum (C. th) fermentation
- Optimized parameters for small (Hungate tube) and large scale anaerobic cellulose fermentation
- Assayed Cellulosome enzyme activity, C.th cell growth rate, and protein production
- Optimized expression of recombinant C.th proteins in E.coli for interaction studies
- Purified Cellulosome protein components
1997 - 1998
~1 yr
3 education records
David Noren education
Phd, Biomedical Engineering, Systems Biology, Angiogenesis
The Johns Hopkins University
Master Of Science (Ms), Chemical Engineering
University Of Rochester
Bachelor Of Science (Bs), Chemical Engineering
University Of Rochester
FAQ
Frequently asked questions about David Noren
Quick answers generated from the profile data available on this page.
What company does David Noren work for?
David Noren works for Philips.
What is David Noren's role at Philips?
David Noren is listed as Director Data Science and AI Engineering at Philips.
What is David Noren's email address?
AeroLeads has found 1 work email signal at @philips.com for David Noren at Philips.
Where is David Noren based?
David Noren is based in Cambridge, Massachusetts, United States while working with Philips.
What companies has David Noren worked for?
David Noren has worked for Philips, Rice University, Johns Hopkins School Of Medicine, Nasa Glenn Research Center, and University Of Rochester Medical Center.
How can I contact David Noren?
You can use AeroLeads to view verified contact signals for David Noren at Philips, including work email, phone, and LinkedIn data when available.
What schools did David Noren attend?
David Noren holds Phd, Biomedical Engineering, Systems Biology, Angiogenesis from The Johns Hopkins University.
What skills is David Noren known for?
David Noren is listed with skills including Matlab, Cell Culture, Cell Biology, Biomedical Engineering, Experimentation, Molecular Biology, Fluorescence Microscopy, and Parallel Computing.
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