About Me

đź‘‹ Hi! I’m a fourth year Ph.D. candidate in EECS at U.C. Berkeley advised by Dr. Niloufar Salehi. My research applies human-computer interaction (HCI) methods to study machine learning and data systems. I’m currently thinking about how we can build trustworthy systems by aligning modeling assumptions with real world needs and goals, and prioritizing user agency. My current projects include developing more reliable machine translation systems for high-stakes domains like healthcare, and exploring what participant engagement might look like in the context of large-scale menstrual health research.

At Berkeley, I’m a member of BAIR, the Berkeley HCI Group and the EPIC Data Lab. During Summer 2022, I was an ML Research Intern on the Visualization team at Apple, supervised by Dr. Fred Hohman and Dr. Mary Beth Kery.

Interests
  • Human-Centered AI
  • Data Visualization
  • ML for healthcare
Education
  • M.S. Electrical Engineering and Computer Sciences, 2021

    University of California, Berkeley

  • B.S. Mathematical and Computational Science, 2019

    Stanford University

Publications

Teaching

  • Artificial Intelligence in Medicine and Health Policy - Graduate Student Instructor, U.C. Berkeley, Fall 2020.
  • Data Challenge Lab - Teaching Assistant, Stanford University, Spring 2019.
  • Introduction to Computing at Stanford - Instructor, Stanford University, Fall 2018.

Contact

  • samantha_robertson [at] berkeley [dot] edu
  • DM Me