Mark Hubenthal

FAQ About Mark Hubenthal

• What is Mark Hubenthal's address?

  Mark Hubenthal is located at
  3701 Southwest Webster Street, Seattle, United States

• What is Mark Hubenthal's job title?

  Mark Hubenthal is a
  Applied mathematician and computer vision researcher with experience in deep learning, convolutional neural networks, machine learning, and developing and implementing advanced algorithms. I currently work on problems related to multi-label image classification and feature extraction. Highly motivated, detailed, and resourceful. Areas of Expertise: Deep Learning, Computer Vision, Machine Learning, Numerical Analysis of PDEs, Inverse Problems, Imaging/Image Processing, Optimization Programming: Python, MXNet, PyTorch, Numpy, Scipy, Scikit-Learn, Pandas, Boto3, Docker, C++, Cython, Matlab, MPI, OpenMP, Keras, TensorFlow AWS Cloud Infrastructure: AWS Batch, EC2, Lambda, SageMaker, Rekognition, DynamoDB, Redshift, S3, Elastic Container Repository Machine Learning: Nonlinear/Linear Optimization Algorithms, L1/L2/TV Regularized Least Squares, ADMM, Logistic Regression, PCA, Clustering, Neural Networks Statistics: Hidden Markov Monte Carlos, Expectation Maximization Algorithm My previous academic research deals with computational inverse problems related to the recovery of unknown parameter functions inside a medium from boundary measurements. The areas of medical and seismic imaging are a driving force behind the research in this area, among other fields. As such, I am well-versed in the implementation of numerical algorithms for solving PDEs, advanced linear algebra, application of optimization schemes, design of computational experiments, and scientific visualization. Amazon

• What industry does Mark Hubenthal currently work in?

  Mark Hubenthal currently works in the
  Amazon

• What is Mark Hubenthal's area of expertise?

  Mark Hubenthal specializes in
  Applied mathematician and computer vision researcher with experience in deep learning, convolutional neural networks, machine learning, and developing and implementing advanced algorithms. I currently work on problems related to multi-label image classification and feature extraction. Highly motivated, detailed, and resourceful. Areas of Expertise: Deep Learning, Computer Vision, Machine Learning, Numerical Analysis of PDEs, Inverse Problems, Imaging/Image Processing, Optimization Programming: Python, MXNet, PyTorch, Numpy, Scipy, Scikit-Learn, Pandas, Boto3, Docker, C++, Cython, Matlab, MPI, OpenMP, Keras, TensorFlow AWS Cloud Infrastructure: AWS Batch, EC2, Lambda, SageMaker, Rekognition, DynamoDB, Redshift, S3, Elastic Container Repository Machine Learning: Nonlinear/Linear Optimization Algorithms, L1/L2/TV Regularized Least Squares, ADMM, Logistic Regression, PCA, Clustering, Neural Networks Statistics: Hidden Markov Monte Carlos, Expectation Maximization Algorithm My previous academic research deals with computational inverse problems related to the recovery of unknown parameter functions inside a medium from boundary measurements. The areas of medical and seismic imaging are a driving force behind the research in this area, among other fields. As such, I am well-versed in the implementation of numerical algorithms for solving PDEs, advanced linear algebra, application of optimization schemes, design of computational experiments, and scientific visualization.

• Which languages does Mark Hubenthal speak? 

  Mark Hubenthal speaks the following languages:
  No languages available.

• Which industries has Mark Hubenthal previously worked in?   

  Mark Hubenthal has prior experience in the following industries:
  Amazon , University Of Minnesota , University Of Houston , Institut Mittag Leffler , University Of Jyvaskyla , Context Relevant , University Of Washington , University Of Washington , University Of Minnesota

• What is Mark Hubenthal’s work experience?  

  Mark Hubenthal has the following professional experience:
  Amazon , Amazon , University Of Minnesota , University Of Houston , Institut Mittag Leffler , University Of Jyvaskyla , Context Relevant , University Of Washington , University Of Washington , University Of Minnesota .

• How can I find Mark Hubenthal on LinkedIn?  

  You can view Mark Hubenthal’s
  LinkedIn profile at LinkedIn URL.

• What are Mark Hubenthal’s work email addresses?  

  Mark Hubenthal’s work email addresses are
  [email protected] .

• What company does Mark Hubenthal work for?  

  Mark Hubenthal works at
  Amazon