About Me

đź‘‹ Hi! I’m a final year Ph.D. candidate in EECS at U.C. Berkeley advised by Dr. Niloufar Salehi. My research applies the theories and methods of human-computer interaction (HCI) to study machine learning and data systems. I’m currently thinking about how we can build trustworthy and verifiable 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 (here’s a recent talk), 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 my Ph.D. I have interned with the Machine Learning Visualization team at Apple, with Dr. Fred Hohman and Dr. Mary Beth Kery, and the (former) Ethical AI team at Google, with Dr. Mark DĂ­az.

I am currently looking for full-time roles in research, data science, and software engineering. If you are looking for a mixed-methods data scientist who loves to prototype new systems and always has end-users' real world needs and contexts front of mind, I would love to hear from you!

  • Human-Centered AI
  • Data Visualization
  • ML for healthcare
  • Natural language processing
  • Personal health informatics
  • M.S. Electrical Engineering and Computer Sciences, 2021

    University of California, Berkeley

  • B.S. Mathematical and Computational Science, 2019

    Stanford University



  • Human-Centered AI - Graduate Student Instructor, U.C. Berkeley, Spring 2023.
  • 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.


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