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Paria Yousefi is listed as AI & Machine Learning Scientist (Deep Learning/Computer Vision) at Huma, a company with 154 employees, based in Oxford, England, United Kingdom. AeroLeads shows a work email signal at huma.com and a matched LinkedIn profile for Paria Yousefi.
Paria Yousefi previously worked as Machine Learning Scientist at Huma and Senior Machine Learning Researcher at Sensyne Health. Paria Yousefi holds Doctor Of Philosophy - Phd, Computer Science from Bangor University.
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Highly accomplished Medical AI Scientist specialising in bespoke AI solutions for healthcare. With extensive experience and leadership, I excel in developing and implementing cutting-edge AI models for medical imaging and digital health. My expertise spans the entire development cycle, including segmentation, diagnosis, pathology, pose estimation, data preprocessing, model deployment, and client presentations. Proven track record of enhancing diagnostic accuracy, improving patient outcomes, and driving significant revenue growth through innovative technology solutions in collaboration with leading healthcare organisations.Programming Proficiency:Strong programming skills in Python, utilising frameworks such as PyTorch, TensorFlow, Keras, and MONAI. Additionally, skilled in Matlab and possess knowledge of Java programming.Cloud Computing Expert:Experienced in cloud computing, with hands-on expertise in Azure and Google Cloud platforms. Proficient in leveraging cloud resources for efficient model development and deployment, utilizing technologies such as FastAPI and VertexAI.
Listed skills include Matlab, Engineering, Image Processing, C++, and 23 others.
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London Area, United Kingdom
- Developed an innovative model for segmenting and analysing abdominal (pancreas) irregularities, significantly enhancing early pancreas cancer detection and contributing to Huma's collaboration with Bayer.- Designed an automated preprocessing and standardisation algorithm for real-world data, making it accessible for the AI team and the client, ensuring.
Oxford, England, United Kingdom
- During the COVID-19 pandemic, I contributed to developing and evaluating an automated model for interpreting lateral flow test results, significantly improving the efficiency and accuracy of COVID-19 diagnostics. This innovation enabled large-scale SARS-CoV-2 testing, was adopted by the NHS, and refined for Excalibur. - I collaborated on a predictive.
Oxford, United Kingdom
- Developed, designed, and evaluated an automated model for quantifying emphysema and fibrosis in idiopathic interstitial pneumonia (IIP), resulting in a successful collaboration with Sensyne Health (Arcturis) and Bayer, and earning a "cum laude" scientific exhibition award.
Bangor, UK
- Developed a discrimination capacity measure and formal protocols for the automatic evaluation of video summaries, addressing critical gaps and setting new standards in the field.- Created a novel benchmarking method that outperforms traditional benchmarks, establishing a new benchmark for performance evaluation.- Engineered a prototype selection.
Kuala Lumpur, Malaysia
- Developed an innovative river extraction method from satellite images using mathematical morphology, Bayesian classification, and dynamic alteration filters. This method, tested in Kuala Terengganu, Malaysia, demonstrated improved accuracy compared to existing approaches.- Created a novel technique integrating linear Kernel PCA with k-Means clustering to.
Shahrood, Iran
- Led the repair and maintenance of telecommunications infrastructure, including racks, switches, electronic boards, operator consoles, and related software. Successfully revitalised Ericsson boards across all call centres, overcoming domestic repair challenges to enhance system reliability, earning recognition from the company.- Supervised and supported.
Shahrood, Iran
- Led the design and supervision of electrical winding operations for DC motors, successfully delivering a major contract in the railway industry.- Directed an R&D team in developing advanced technologies for motor and generator winding and design, driving innovation and engineering excellence.
Other employees you can reach at huma.com. View company contacts for 154 employees →
Farnaz Behroozi, Ph.D.
Colleague at Huma
London, England, United Kingdom, United Kingdom
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MB
Mahdi Biria
Colleague at Huma
London, England, United Kingdom, United Kingdom
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YB
Yuvraj Babu
Colleague at Huma
Delhi, India, India
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VT
Viacheslav Tkachenko
Colleague at Huma
Constanţa, Romania, Romania
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AC
Alex Chaku
Colleague at Huma
Ukraine, Ukraine
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FA
Fardin Abdi
Colleague at Huma
London Area, United Kingdom, United Kingdom
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DT
Dr. Turlough O'Hagan
Colleague at Huma
London, England, United Kingdom, United Kingdom
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SP
Shahrzad Pakgohar
Colleague at Huma
London Area, United Kingdom, United Kingdom
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MA
Mohammad Asghari
Colleague at Huma
United Kingdom, United Kingdom
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RK
Ramesh Kumar P N
Colleague at Huma
London, England, United Kingdom, United Kingdom
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Activities and Societies: Student representative for PhD students (2017-2018); Creating and running demos to promote both the University.
- Master degree in Biomedical Engineering (Course and Research) - Final year research project on medical image processing: For the final.
Activities and Societies: * Robotic competition * Machine learning* Bachelor project on iris detection and segmentation.
Quick answers generated from the profile data available on this page.
Paria Yousefi works for Huma.
Paria Yousefi is listed as AI & Machine Learning Scientist (Deep Learning/Computer Vision) at Huma.
AeroLeads has found 1 work email signal at @huma.com for Paria Yousefi at Huma.
Paria Yousefi is based in Oxford, England, United Kingdom while working with Huma.
Paria Yousefi has worked for Huma, Sensyne Health, Bangor University, University Of Malaya, and Iran Railway- Operated By Private Companies.
Paria Yousefi's colleagues at Huma include Farnaz Behroozi, Ph.D., Mahdi Biria, Yuvraj Babu, Viacheslav Tkachenko, and Alex Chaku.
You can use AeroLeads to view verified contact signals for Paria Yousefi at Huma, including work email, phone, and LinkedIn data when available.
Paria Yousefi holds Doctor Of Philosophy - Phd, Computer Science from Bangor University.
Paria Yousefi is listed with skills including Matlab, Engineering, Image Processing, C++, C Programming, Auto Cad Elementary, Office Professional, and Latex.
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