School of Engineering

Showing 1-10 of 228 Results

• Ahmed Ibrahim Abdalla

  Masters Student in Electrical Engineering, admitted Autumn 2019
  Student Employee, Computer Science
  

  • Contact Info

    Mail Code: 9015

    aabdalla@stanford.edu
• Malwana Adalat

  Administrative Manager, CS Affiliates
  

  • Contact Info

    • 353 Jane Stanford Way Rm 264
    • Gates Computer Science Building
    • Stanford, California 94305-9025

    Mail Code: 9025

    • (650) 725-4385 (office)

    madalat@stanford.edu
• David Christopher Adrian

  Casual - Non-Exempt, Computer Science
  

  • Contact Info

    Mail Code: 9025

    davidcadrian@gmail.com
• Nikhar Agrawal

  Masters Student in Computer Science, admitted Autumn 2016
  Student Employee, Computer Science
  

  • Contact Info

    Mail Code: 9015

    nikhar@stanford.edu
• Jason Ryan Ah Chuen

  Masters Student in Computer Science, admitted Autumn 2019
  Student Employee, Computer Science
  

  • Contact Info

    Mail Code: 9015

    • (650) 714-7386 (office)

    jahchuen@stanford.edu
• 

  Diego Ahmad-Stein

  Student Employee, Computer Science
  Undergraduate, Computer Science
  

  • Contact Info

    Mail Code: 9015

    dahmad1@stanford.edu
• Ahmed Mohamed Ahmed

  Masters Student in Computer Science, admitted Autumn 2018
  CURIS Outreach Assistant, Computer Science
  

  • Contact Info

    Mail Code: 9025
• Kanoe Makalii Aiu

  Student Employee, Computer Science
  Cda (Course Development Assistant), Freshman and Sophomore Programs (FSP)
  Undergraduate, Vice Provost for Undergraduate Education
  

  • Contact Info

    Mail Code: 3068

    kanoeaiu@stanford.edu
• 

  Shray Alag

  Student Employee, Computer Science
  Undergraduate, Vice Provost for Undergraduate Education
  

  BioClass of 2025, Computer Science/Computational Biology
  
  Research Publications:
  Alag S (2020) Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. PLoS ONE 15(5): e0233438. https://doi.org/10.1371/journal.pone.0233438.
  
  Alag S (2020) Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach. PLoS ONE 15(9): e0239694. https://doi.org/10.1371/journal.pone.0239694.
  
  Alag, Shray. 2020, July 31. Extracting Unique Insights by Mining Single Nucleotide Polymorphisms from ClinicalTrials.gov and Applying the Human Phenotype Ontology [Presenter]. Society for Clinical Trials.
  
  Proficient in Python, Java, Bash, Octave, Mathlab.

  • Contact Info

    Mail Code: 9015

    alag@stanford.edu
• Ruslan AL-Jabari

  Student Employee, Computer Science
  Undergraduate, Computer Science
  

  • Contact Info

    Mail Code: 9015

    rjabari@stanford.edu