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Mohsen Farzi Email & Phone Number
AI Engineer
at
XRlabs
1 work email found
@xrlabs.ai
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
AI Engineer
Location
Cambridge, England, United Kingdom
Company size
Who is Mohsen Farzi? Overview
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Quick answer
Mohsen Farzi is listed as AI Engineer at XRlabs, a with 11 employees, based in Cambridge, England, United Kingdom. AeroLeads shows a work email signal at xrlabs.ai and a matched LinkedIn profile for Mohsen Farzi.
Mohsen Farzi previously worked as Machine Learning Scientist at National Pathology Imaging Co-Operative (Npic) and Data Scientist at University Of Leeds. Mohsen Farzi holds Doctor Of Philosophy (Phd), Biomedical/Medical Engineering from The University Of Sheffield.
Company email context
Email format at XRlabs
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{first}@xrlabs.ai
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AeroLeads found 1 current-domain work email signal for Mohsen Farzi. Compare company email patterns before reaching out.
Profile bio
About Mohsen Farzi
Mohsen Farzi is a AI Engineer at XRlabs. He possess expertise in matlab, tex, c++, machine learning, digital image processing and 9 more skills. He is proficient in English.
Listed skills include Matlab, Tex, C++, Machine Learning, and 10 others.
Current workplace
Mohsen Farzi's current company
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Xrlabs
7 roles
Mohsen Farzi work experience
A career timeline built from the work history available for this profile.
Machine Learning Scientist
Current
Jun 2022 - Present
Data Scientist
Research: delivered novel research in cardiac microstructure modelling using diffusion-weighted MRI data leading to journal and conference publications• Software deployment: implemented a MATLAB toolkit for efficient cardiac microstructure model development, reducing code from 468 to 6 lines for a three-compartment model (https://github.com/mfarzi/myoscope)• Data collection and curation: initiate and lead collaborative project proposals with Diamond Light Source Ltd. to acquire tomographic Synchrotron X-ray Imaging (SRI)• Proven ability to collaborate effectively in a multidisciplinary research project with physicists at the Experimental and Preclinical Imaging Centre (ePIC), computational scientists, and clinicians.
Oct 2018 - May 2022
Graduate Student Researcher
Oct 2014 - Sep 2018
Scientific Software Developer
-Implementing new test use cases for a cloud computation platform on Amazon Web Service (AWS) for data-intensive analysis (VPH-DARE project, work package 7)-Implemented a computational workflow for bone densitometry using large-scale databases from the UK Biobank (Application No. 17881, pilot data n~17,000)
May 2017 - Oct 2017
Research Assistant
Sep 2012 - Aug 2014
Graduate Teaching Assistant For Pattern Recognition
Sep 2013 - Jan 2014
3 education records
Mohsen Farzi education
Doctor Of Philosophy (Phd), Biomedical/Medical Engineering
Master Of Science (M.Sc.), Biomedical/Medical Engineering
Bachelor Of Science (B.Sc.), Electrical Engineering
FAQ
Frequently asked questions about Mohsen Farzi
Quick answers generated from the profile data available on this page.
What company does Mohsen Farzi work for?
Mohsen Farzi works for XRlabs.
What is Mohsen Farzi's role at XRlabs?
Mohsen Farzi is listed as AI Engineer at XRlabs.
What is Mohsen Farzi's email address?
AeroLeads has found 1 work email signal at @xrlabs.ai for Mohsen Farzi at XRlabs.
Where is Mohsen Farzi based?
Mohsen Farzi is based in Cambridge, England, United Kingdom while working with XRlabs.
What companies has Mohsen Farzi worked for?
Mohsen Farzi has worked for Xrlabs, National Pathology Imaging Co-Operative (Npic), University Of Leeds, The University Of Sheffield, and Sharif University Of Technology.
How can I contact Mohsen Farzi?
You can use AeroLeads to view verified contact signals for Mohsen Farzi at XRlabs, including work email, phone, and LinkedIn data when available.
What schools did Mohsen Farzi attend?
Mohsen Farzi holds Doctor Of Philosophy (Phd), Biomedical/Medical Engineering from The University Of Sheffield.
What skills is Mohsen Farzi known for?
Mohsen Farzi is listed with skills including Matlab, Tex, C++, Machine Learning, Digital Image Processing, Simulink, Signal Processing, and Latex.
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