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Ashley Chen

NA

Ashley Chen
  • NA

    Graduates 15/05/2027

  • Computer Science, Data Science

    Case Western Reserve University

  • Send message to "user 789112"

Education

  • University/College: Case Western Reserve University
  • Major: Computer Science, Data Science
  • Minors: NA
  • Start Date: 22 August 2023

Work Experience

Undergraduate Researcher

INVent Lab NA

Built convolutional neural networks using PyTorch, U-Net architectures, and DenseNet architectures to perform digital pathology segmentation of epithelium versus stroma regions and digital pathology classification of types of lymphoma cancer.

Skills:
  • C++
  • HTML/CSS
  • Java
  • JavaScript
  • Matlab
  • Matplotlib
  • Numpy
  • Pandas
  • Python
  • PyTorch
  • R
  • Scikit-learn
  • SQL
  • SwiftUI
  • TensorFlow

Artificial Intelligence Intern

Logitech NA

Developed a CMF Materials Library system, improving material information accessibility by 2x through an internal application, and presented it to 50+ engineers. Implemented a full-stack application with an AI summarizer, SQLite3 database, and GUI using Python and Tkinter. Utilized OpenAI API to extract and categorize key material information from inputted web sources.

Skills:
  • C++
  • HTML/CSS
  • Java
  • JavaScript
  • Matlab
  • Matplotlib
  • Numpy
  • Pandas
  • Python
  • PyTorch
  • R
  • Scikit-learn
  • SQL
  • SwiftUI
  • TensorFlow

Participant

UCLA Computer Science Summer Institute NA

Implemented various prediction methodologies (neural network, support vector machine, etc) using scikit-learn to predict star type in Jupyter Notebook. Evaluated and compared algorithms to identify the most accurate model.

Skills:
  • C++
  • HTML/CSS
  • Java
  • JavaScript
  • Matlab
  • Matplotlib
  • Numpy
  • Pandas
  • Python
  • PyTorch
  • R
  • Scikit-learn
  • SQL
  • SwiftUI
  • TensorFlow

Participant

California State Summer School for Mathematics and Science (COSMOS) NA

Multimedia experience showcasing the intersection of multiple art forms through sound and visuals. Connected external hardware to Raspberry Pi using circuitry, translated distance from an ultrasonic sensor into sound frequencies using Python, and connected sound frequencies to create particle visuals in Pure Data’s GEM patch.

Skills:
  • C++
  • HTML/CSS
  • Java
  • JavaScript
  • Matlab
  • Matplotlib
  • Numpy
  • Pandas
  • Python
  • PyTorch
  • R
  • Scikit-learn
  • SQL
  • SwiftUI
  • TensorFlow

Equal Employment Opportunity

  • LGBTQ: NA
  • Ethnicity: NA
  • Disability: NA
  • Veteran: NA
  • First-generation College Student: NA
  • Pell Grant Eligibility: NA
  • Work Authorization: NA
  • Visa Sponsorship: NA

Personal Information

  • Experience Time

    NA

  • Gender

    Female

  • Age

  • Currently pursuing

    Certificate

  • Languages

    NA

Skills

NA

Career Interest

Open to Different Industries

No

Location Type:

NA

Location:

NA

Employment Type:

NA

Industry:
NA

Social Profiles