Jorge Jimenez Email & Phone Number
@cancerpreventiontraining.org
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Who is Jorge Jimenez? Overview
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Jorge Jimenez is listed as Medical Imaging Engineer at Neuralink, a company with 550 employees, based in San Carlos, California, United States. AeroLeads shows a work email signal at cancerpreventiontraining.org and a matched LinkedIn profile for Jorge Jimenez.
Jorge Jimenez previously worked as Senior Computational Software Engineer at Q Bio and Image Reconstruction Engineer at Q Bio. Jorge Jimenez holds Doctor Of Philosophy (Phd), Medical Physics from University Of Wisconsin-Madison.
Email format at Neuralink
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About Jorge Jimenez
Software Development: • Programming languages: Python, MATLAB, R, C++ and EPIC PDS for GE MRI.• Skilled in code optimization and efficiency; strong debugging and troubleshooting abilities.• System design and architecture, Software Development Life Cycle (SDLC), DevOps and CI/CD pipelines and version control (e.g., Git).• Image processing and analysis, computer vision (OpenCV), GUI development (Qt PySide, MATLAB App Designer) for tooling and development. Data Sciences: • Statistical Analysis (SciPy, Pandas), linear algebra, probability theory, data mining (scikit-learn), machine learning algorithms and models (TensorFlow, Keras).• Data engineering, data wrangling and cleaning, and ETL Processes.• Proficiency in Industry-standard data visualization Tools (Tableau, Matplotlib, Seaborn) or custom-made tools. • Experience with Databases (SQL, NoSQL) and Cloud Platforms (AWS, GCP, Azure).Research:• Expertise in novel medical imaging technologies in an academic (BYU, UW-Madison), clinical translational (MD Anderson) and industry (GE, Q bio) setting. • Strong background in numerical computation algorithms (NumPy, JAX) for data science and signal processing simulations; Fourier theory; Optimization problems; Machine learning predictive and classification models using Radiomics and physiological information. Pharmacokinetic models for screening and diagnosis. • Experience developing new MRI/CT Image reconstructions algorithms: Parallel imaging, Low-rank, fat/water separation, compressed sensing, Low-rank, total variance, and many other multidimensional constrained reconstructions. MRI Rapid acquisition strategies for multiple clinical applications.• Designed experiments to test and validate technologies to meet regulatory requirements and receive market clearance.Diagnostic Imaging:• Led medical imaging scientists in research or industry projects across different imaging modalities.• Technical support to develop, implement, optimize, and maintain standardized imaging protocols using clinicals and pre-clinical equipment. • Site and equipment selection, site and personnel training, and data collection logistics. • Patient safety, radiation safety, radiobiology, imaging informatics, equipment regulatory testing for MRI, CT, PET SPECT, Mammography, and general X-ray.Management: • Leadership in experiment design, execution, and interpretation of results.• Clinical operations, image quality assurance program, and research regulatory affairs. • Coordinated efforts between software engineers, data scientists, physicians and researchers.
Listed skills include Spanish, Research, Data Analysis, Matlab, and 13 others.
Jorge Jimenez's current company
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Jorge Jimenez work experience
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Senior Computational Software Engineer
Current
Image Reconstruction Engineer
- Developed pulse sequences software from inception for new, pre-clinical low field MRI scanner.
- Built graphical user interface pulse sequence simulator for waveforms and radio frequencies development.
- Built reconstruction framework to allow fast imaging for a low field magnet MRI system utilizing state of the art reconstruction techniques such as compressed sensing and low rank in conjunction with linear and.
Diagnostic Medical Physics Fellow
- This Diagnostics Fellowship was unique in the country with 2 alternating roles: Post-Doctoral Researcher:
- Studded imaging features from MRI-DCE studies to identify radiomic biomarker as predictors of therapy response in triple negative breast cancer. In collaboration with Gaiane M Rauch, MD.
- Developed a deep learning neural network to synthetize MRI-DCE pharmacokinetic maps from MRI-DSC sequences. In collaboration with Anthony Liu, PhD.
- Tested machine learning classification models for PET imaging using radiomic features to predict therapy response to mantle cell lymphoma. In collaboration with Yang Lu, M.D., Ph.D. ABR accredited Residency
- Rotated through all diagnostic imaging modalities: Computed/digital radiography, fluoroscopy, digital mammography, computed tomography, nuclear medicine, magnetic resonance imaging, and ultrasound.
- Worked with radiologists, imaging technologists, IT support, and equipment service engineers to monitor, manage, and solve any day-to-day issues in routine clinicals activities.
Research Assistant
- Studied new methods to improve signal acquisition and 3D image reconstructions in MRI.
- Adapted radial sampling trajectories in frequency domain for rapid acquisition in bilateral breast imaging.
- Developed constrained reconstruction to further improve imaging speed using compressed sensing and low-rank techniques.
- Designed digital phantom to benchmark and validate new MRI trajectories and reconstruction schemes.
Physics Ta
- Aided in teaching freshman and sophomore-level physics classes.
- Served as lab assistant for a pre-med physics class.
Research Assistant
- Researched and drafted findings on using Compressed Sensing (CS) to reduce MRI scan time.
- Designed a tutorial to help future students understand the basic principles of MRI.
- Maintained the lab computer network (Linux); Co-designed and built a website for the BYU MRI facility.
Colleagues at Neuralink
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Jack Castleberry
Colleague at NeuralinkSan Francisco Bay Area, United States
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JM
Jeremy Melton
Colleague at NeuralinkSan Francisco Bay Area, United States
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Noah Santoni
Colleague at NeuralinkDallas-Fort Worth Metroplex, United States
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Kevin B.
Colleague at NeuralinkSan Francisco Bay Area, United States
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LW
Laura Woodruff
Colleague at NeuralinkFremont, California, United States, United States
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CD
Corry Daus
Colleague at NeuralinkUnited States, United States
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Karen O..
Colleague at NeuralinkLos Altos, California, United States, United States
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Lei Wang
Colleague at NeuralinkDallas, Texas, United States, United States
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Yixin Wu
Colleague at NeuralinkFremont, California, United States, United States
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RM
Ricardo Martínez-Martínez
Colleague at NeuralinkOrlando, Florida, United States, United States
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Jorge Jimenez education
Doctor Of Philosophy (Phd), Medical Physics
Bachelor Of Science - Bs, Engineering Physics/Applied Physics
Frequently asked questions about Jorge Jimenez
Quick answers generated from the profile data available on this page.
What company does Jorge Jimenez work for?
Jorge Jimenez works for Neuralink.
What is Jorge Jimenez's role at Neuralink?
Jorge Jimenez is listed as Medical Imaging Engineer at Neuralink.
What is Jorge Jimenez's email address?
AeroLeads has found 1 work email signal at @cancerpreventiontraining.org for Jorge Jimenez at Neuralink.
Where is Jorge Jimenez based?
Jorge Jimenez is based in San Carlos, California, United States while working with Neuralink.
What companies has Jorge Jimenez worked for?
Jorge Jimenez has worked for Neuralink, Q Bio, Md Anderson Cancer Center, University Of Wisconsin-Madison, and Brigham Young University.
Who are Jorge Jimenez's colleagues at Neuralink?
Jorge Jimenez's colleagues at Neuralink include Jack Castleberry, Jeremy Melton, Noah Santoni, Kevin B., and Laura Woodruff.
How can I contact Jorge Jimenez?
You can use AeroLeads to view verified contact signals for Jorge Jimenez at Neuralink, including work email, phone, and LinkedIn data when available.
What schools did Jorge Jimenez attend?
Jorge Jimenez holds Doctor Of Philosophy (Phd), Medical Physics from University Of Wisconsin-Madison.
What skills is Jorge Jimenez known for?
Jorge Jimenez is listed with skills including Spanish, Research, Data Analysis, Matlab, Microsoft Office, Teaching, Mathematica, and Powerpoint.
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