Charlotte Le

I’m building machine learning infrastructure at Slack, working out of New York City.

Previously, I studied computer science at UC Berkeley, where I did research in the Berkeley Artificial Intelligence Research (BAIR) Lab and taught as a lecturer for CS 61A.

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Charlotte Le

Education

University of California, Berkeley
2020 – 2024
B.A. in Computer Science
Minor
Politics, Philosophy, and Law
Honors
High Distinction, EECS Honors, Phi Beta Kappa, Upsilon Pi Epsilon

Experience

Slack (Salesforce)
2024 – Present
Machine Learning Engineer, Infrastructure
Algoverse AI Research
Summer 2025
Machine Learning Research Mentor
UC Berkeley EECS
Summer 2024
Instructor, CS 61A
UC Berkeley EECS
2021 – 2024
Head Teaching Assistant, CS 61A
Berkeley Artificial Intelligence Research (BAIR) Lab
2023 – 2024
Undergraduate Researcher
Berkeley Algorithms & Computing for Education (ACE) Lab
2022 – 2023
Undergraduate Researcher

Publications

VariantBench: A Framework for Evaluating LLMs on Justifications for Genetic Variant Interpretation
IJCNLP-AACL Workshop
paper
Automating Deformable Gasket Assembly
IEEE International Conference on Automation Science and Engineering (CASE)
paper arXiv project
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems (RSS)
paper arXiv project
FogROS2-Config: A Toolkit for Choosing Server Configurations for Cloud Robotics
IEEE International Conference on Robotics and Automation (ICRA)
paper arXiv project
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
IEEE International Conference on Robotics and Automation (ICRA)
paper arXiv project

Service

  • Salesforce Employee Impact Council
    Member
  • UC Berkeley College of Computing, Data Science, and Society
    Liaison Officer
  • Associated Students of the University of California
    Director of Academic Planning
  • UN Commission on Crime Prevention and Criminal Justice
    Speaker [E/CN.15/2019/15]
  • FIFA World Cup 2022
    Youth Ambassador