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Rise Miccai
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Rabia Haq, Ph.D. Email & Phone Number
Data Science | Machine Learning | Artificial Intelligence | Healthcare
at
RISE MICCAI
1 work email found
@mskcc.org
LinkedIn matched
✓ Verified August 2026
4 data sources
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Current company
Role
Data Science | Machine Learning | Artificial Intelligence | Healthcare
Location
New York, United States
Who is Rabia Haq, Ph.D.? Overview
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Rabia Haq, Ph.D. is listed as Data Science | Machine Learning | Artificial Intelligence | Healthcare at RISE MICCAI, based in New York, United States. AeroLeads shows a work email signal at mskcc.org and a matched LinkedIn profile for Rabia Haq, Ph.D..
Rabia Haq, Ph.D. previously worked as Program Director, AI at 3Dr Labs and Sr. AI Data Scientist, Computer Vision at Genmab. Rabia Haq, Ph.D. holds B.Sc., Computer Science from Old Dominion University.
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*@mskcc.org
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Profile bio
About Rabia Haq, Ph.D.
I am a well-renowned AI Data Scientist with over 15 years of experience in biomedical image analysis, computer vision and pattern recognition. I lead and develop state-of-the art machine learning and artificial intelligence models for predictive analysis and disease progression. I thrive in a diverse, collaborative environment and aim to foster creativity and productivity in cross-functional teams. I am a thought leader and serve as a subject matter expert in leveraging AI to solve problems in healthcare using diverse, multi-modal data.I am passionate about driving innovation in machine learning to transform and improve the human condition - one ripple effect at a time.
Listed skills include Artificial Neural Networks, Leadership, Neural Networks, Pandas, and 61 others.
Current workplace
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9 roles
Rabia Haq, Ph.D. work experience
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Program Director, Ai
CurrentKey Contributions:- Set the vision and strategy for AI initiatives within the lab and effectively communicate the resource requirements and roadmap to cross-functional teams and executive leadership.- Spearhead and support successful AI project implementation outcomes with external software and systems engineering collaborators for enhancement of internal 300+ RadTech workflows.- Lead and develop cutting-edge GPU-accelerated deep learning models to enable medical image segmentation & disease identification for clinical support.- Lead and mentor junior AI scientists to enable accelerated model deployment and clinical impact.Technologies: Supervised learning, CNN, ViTs, Diffusion Models, MONAI Framework
Nov 2023 - Present
Sr. Ai Data Scientist, Computer Vision
Key Contributions: - Develop machine learning methods in oncology for disease identification and patient stratification using multi-modal data.- Predictive modeling to support clinical trials.- Led external collaborations with CROs for in-house biomedical imaging data analysis.- Provided inter-departmental technical expertise on end-to-end ML model development and deployment.
Jan 2022 - Jun 2022
Research Associate
Key Contributions: - Led and built novel and cutting-edge deep learning image segmentation models using radiology images for robust radiation therapy planning.- Reduced patient’s contouring time from 1 hour to ~10 seconds with > 85% as-is acceptability.- Fostered and enabled code sharing and technical partnership impacting 10+ project developments.- Provided scientific direction for ML applicability and adoption across medical physics, radiology, oncology & pathology departments.- Cross-collaboration with diverse experts in biology, data science, medicine and engineering. - Mentored 3 machine learning engineers for clinical deployment.- Took ownership of scientific projects and publications, generating multi-million dollar funding.Technologies: Supervised learning, self-supervised and unsupervised learning, Transfer learning, GANs, Transformers, LSTMs for series analysis.Conferences & Workshop presentations:AAPM Image Segmentation Panel, July 2021AAPM AI in Imaging, July 2020MICCAI, Oct 2019MIDL, July 2019AAPM AI in Imaging, July 2019AAPM Image Segmentation: CT, July 2018AAPM, July 2017
Nov 2016 - Sep 2021
Postdoctoral Research Fellow
Key Contributions:- Led Phd students for product design and extension of my phd AI framework developing a lumbar spine segmentation and CAD framework.
Jan 2016 - Sep 2016
Phd Researcher
Key Contributions:- Successfully segmented the lumbar spine vertebrae and intervertebral discs (healthy and pathological) from multi-modal CT and MRI images with < 1 mm accuracy.- Awarded state grant based on my research, resulting in $400,000 funding and growth opportunities.Conference and Workshop proceedings/presentations:MICCAI, Oct 2015Computer Assisted Radiology and Surgery (CARS), July 2015MSVE Conference, March 2015Recent advances in computational methods, MICCAI, Oct 2014ICPR, 2014MSVE Conference, 2014CSI workshop, MICCAI, 2013MSVE Conference, 2013
Sep 2011 - Dec 2015
Software Engineer
Key Contributions:- Generated and maintained the online inventory in Oracle Application Express (APEX) and SQL database.- Optimized e-commerce ordering analytics product utilized by 500 employees in international offices.
Mar 2008 - Dec 2008
Software Quality Assurance Intern
Key Contributions:Developed and maintained mailing CmaF mailing system
Jan 2007 - Mar 2007
Teaching Assistant
Key Contributions:- Teaching Assistant for graduate system architecture, network and security system classes.
Jan 2006 - Dec 2006
3 education records
Rabia Haq, Ph.D. education
B.Sc., Computer Science
Old Dominion University
M.S., Computer Science
Old Dominion University
Doctor Of Philosophy - Phd, Modeling, Simulation And Visualization Engineering
Old Dominion University
FAQ
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What company does Rabia Haq, Ph.D. work for?
Rabia Haq, Ph.D. works for RISE MICCAI.
What is Rabia Haq, Ph.D.'s role at RISE MICCAI?
Rabia Haq, Ph.D. is listed as Data Science | Machine Learning | Artificial Intelligence | Healthcare at RISE MICCAI.
What is Rabia Haq, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @mskcc.org for Rabia Haq, Ph.D. at RISE MICCAI.
Where is Rabia Haq, Ph.D. based?
Rabia Haq, Ph.D. is based in New York, United States while working with RISE MICCAI.
What companies has Rabia Haq, Ph.D. worked for?
Rabia Haq, Ph.D. has worked for Rise Miccai, 3Dr Labs, Genmab, Memorial Sloan Kettering Cancer Center, and Old Dominion University.
How can I contact Rabia Haq, Ph.D.?
You can use AeroLeads to view verified contact signals for Rabia Haq, Ph.D. at RISE MICCAI, including work email, phone, and LinkedIn data when available.
What schools did Rabia Haq, Ph.D. attend?
Rabia Haq, Ph.D. holds B.Sc., Computer Science from Old Dominion University.
What skills is Rabia Haq, Ph.D. known for?
Rabia Haq, Ph.D. is listed with skills including Artificial Neural Networks, Leadership, Neural Networks, Pandas, R, Stakeholder Engagement, Amazon Web Services, and Cross Functional Collaborations.
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