Ruchika Verma

Machine Learning Intern at Alberta Machine Intelligence Institute (Amii)
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Canada, CA
Languages
  • English -
  • Hindi -
  • Punjabi -

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • AI Capstone Project with Deep Learning
    Coursera
    Dec, 2020
    - Nov, 2024
  • IBM AI Engineering Specialization
    Coursera
    Dec, 2020
    - Nov, 2024
  • Deep Neural Networks with PyTorch
    Coursera
    Nov, 2020
    - Nov, 2024
  • Building Deep Learning Models with TensorFlow
    Coursera
    Nov, 2020
    - Nov, 2024
  • Deep Learning Essentials with Keras
    Coursera
    Nov, 2020
    - Nov, 2024
  • Deep Learning with Tensorflow
    Coursera
    Nov, 2020
    - Nov, 2024
  • Deep Neural Networks with PyTorch Badge
    Coursera
    Nov, 2020
    - Nov, 2024
  • Introduction to Deep Learning & Neural Networks with Keras
    Coursera
    Nov, 2020
    - Nov, 2024
  • Machine Learning with Python
    Coursera
    Nov, 2020
    - Nov, 2024
  • Machine Learning with Python Badge
    Coursera
    Nov, 2020
    - Nov, 2024
  • Applied Machine Learning: Algorithms
    LinkedIn
    Oct, 2020
    - Nov, 2024
  • Applied Machine Learning: Foundations
    LinkedIn
    Oct, 2020
    - Nov, 2024
  • Artificial Intelligence Foundations: Machine Learning
    LinkedIn
    Oct, 2020
    - Nov, 2024
  • Python for Data Visualization
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • Introduction to R
    DataCamp

Experience

  • Alberta Machine Intelligence Institute (Amii)
    • Canada
    • Research Services
    • 1 - 100 Employee
    • Machine Learning Intern
      • Jan 2022 - Present

  • Case Western Reserve University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2017 - Dec 2021

      Developing machine/deep learning algorithms for processing diagnostic MRI scans and digitized cancer tissue slides for solving precision oncology problems pertaining to Glioblastoma.Investigating morphological associations between histopathological phenotypes and radiomic features in Glioblastoma patients to assess the tumor phenotypic characteristics responsible for treatment resistance.

    • Graduate Teaching Assistant
      • Aug 2019 - Dec 2019

      EBME 308: Biomedical Signals and SystemsQuantitative analysis of signals and physiological systems. Time domain and frequency domain analysis of linear systems, Fourier and Laplace transforms, A/D conversion, sampling and Filter design for various applications.

  • University of Alberta
    • Canada
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • May 2021 - Aug 2021

      Developing machine learning algorithms for COVID-19 forecasting and survival prediction of cancer patients. Developing machine learning algorithms for COVID-19 forecasting and survival prediction of cancer patients.

  • University of California, San Francisco
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Intern
      • May 2020 - Aug 2020

      Implemented deep learning algorithms for automatic identification of prognostic markers in esophagealtumors from H&E stained tissue images and associated genomic data Implemented deep learning algorithms for automatic identification of prognostic markers in esophagealtumors from H&E stained tissue images and associated genomic data

  • Indian Institute of Technology, Guwahati
    • India
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Jul 2016 - Dec 2016

      1. Developed a deep learning based algorithm to accurately segment nuclei from multi-organ H&E stained tissue images.2. Developed a convolutional neural network for wavelet domain single image super resolution.

    • Graduate Student
      • Jul 2014 - Jul 2016

      1. Developed a novel algorithm to detect intra-tumoral heterogeneity in individual breast cancers from routine H&E stained digital tissue images.2. Created and publicly released a multi-organ dataset of around 22,000 hand-annotated nuclei spanning 7 organs from 18 hospitals.3. Investigated the utility of CNNs to predict biochemical recurrence in prostate cancer patients.

  • Defence Research and Development Organisation (DRDO)
    • India
    • Research Services
    • 700 & Above Employee
    • Junior Research Fellow
      • Dec 2013 - Feb 2014

      Analyzed physiological signals via digital signal processing algorithms for cognitive enhancement. Analyzed physiological signals via digital signal processing algorithms for cognitive enhancement.

Education

  • Indian Institute of Technology, Guwahati
    Master’s Degree, Electronics and Electrical Engineering
    2014 - 2016
  • Case Western Reserve University
    Doctor of Philosophy - PhD, Biomedical/Medical Engineering
    2017 - 2022
  • Punjab Technical University, Jalandhar
    Bachelor’s Degree, Electronics and Communication Engineering
    2009 - 2013

Community

You need to have a working account to view this content. Click here to join now