Shaden Alshammari

Graduate Teaching Assistant at MIT EECS
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US

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Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Graduate Teaching Assistant
      • Sep 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Teaching Assistant
      • Sep 2022 - Dec 2022

      Linear Algebra and Optimization (18.C06) - Taught two one-hour recitation sessions weekly to 33 student. - Created three exam review videos, which got more than 170 hours of watch time from students. - Received a 6.9/7.0 overall teaching quality rating. Linear Algebra and Optimization (18.C06) - Taught two one-hour recitation sessions weekly to 33 student. - Created three exam review videos, which got more than 170 hours of watch time from students. - Received a 6.9/7.0 overall teaching quality rating.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Robotics Institute Summer Scholar
      • Jun 2022 - Aug 2022

      - Adapted contact audio as an alternative tactile modality for complex manipulation tasks that are challenging from vision alone. - Implemented the learned model on Franka arm, Robotiq gripper, and Piezo microphones. - Presented the work at Women in Machine Learning Workshop @NeurIPS 2022. - Adapted contact audio as an alternative tactile modality for complex manipulation tasks that are challenging from vision alone. - Implemented the learned model on Franka arm, Robotiq gripper, and Piezo microphones. - Presented the work at Women in Machine Learning Workshop @NeurIPS 2022.

    • Research Intern
      • Jun 2021 - Feb 2022

      - Developed a simple approach to mitigate data bias for images that follow a long-tailed distribution using weight regularization. - Released an open-source code as a self-explanatory tutorial (has +80 stars on GitHub). - Published a first-authored paper in CVPR 2022. - Developed a simple approach to mitigate data bias for images that follow a long-tailed distribution using weight regularization. - Released an open-source code as a self-explanatory tutorial (has +80 stars on GitHub). - Published a first-authored paper in CVPR 2022.

    • Saudi Arabia
    • Education Administration Programs
    • 200 - 300 Employee
    • Mathematical Olympiad Trainer
      • Dec 2018 - Jan 2022

      Taught combinatorics, geometry, algebra, and number theory to top nominees in math Olympiad competitions as part of the national training program for +1000 hours during school breaks. Taught combinatorics, geometry, algebra, and number theory to top nominees in math Olympiad competitions as part of the national training program for +1000 hours during school breaks.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Opportunities Program, Health Sciences and Technology Department (HST)
      • Jan 2021 - May 2021

      Worked on learning delayed linear dynamical systems using gradient descent and studied life-threatening cardiac arrhythmias from two datasets: MIMIC-III and PhysioNet 2015 Challenge. Worked on learning delayed linear dynamical systems using gradient descent and studied life-threatening cardiac arrhythmias from two datasets: MIMIC-III and PhysioNet 2015 Challenge.

Education

  • Massachusetts Institute of Technology
    Bachelor's degree, Computer Science and Engineering (6-3) & Mathematics (18)
    2019 - 2023
  • Massachusetts Institute of Technology
    Master of Engineering - MEng, Artificial Intelligence
    2023 -

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