Andrew M. Zhang

Citadel Securities Quantitative Research Intern (2019 & 2020). RISELab. EECS Masters Student.

I am a student pursuing an M.Sc in Computer Science at University of California - Berkeley. I am interested in systems, image manipulation, and machine learning research. I am also a researcher in RISELab where I work under Prof. Randy Katz on serverless machine learning frameworks and serverless computing. I used to TA for CS189: Machine Learning and CS70: Discrete Math and Probability Theory.

My up to date resume is always provided below:

My Resume

selected publications

  1. SoCC
    CENTAUR: A Practical Serverless Framework for End-to-End ML Workflows
    Carreira, J., Fonseca, P., Tumanov, A., Zhang, A., and Katz, Prof.
    Symposium on Cloud Computing, 2019
  2. NeurIPS
    A Case for Serverless Machine Learning
    Carreira, J., Fonseca, P., Tumanov, A., Zhang, A., and Katz, Prof.
    NuerIPS Workshop, 2018