Jen Weng is a grad student in Computational and Mathematical Engineering with experiences in developing deep learning-based computer vision algorithms. She previously worked at VMware as a Machine Learning Engineer. Her current research focus is on deep learning and computer vision.

Education & Certifications

  • BS, Carnegie Mellon University, Mathematics
  • BS, Carnegie Mellon University, Computer Science

Stanford Advisors

Work Experience

  • Research Engineer, AQR Capital Management LLC (July 13, 2016 - July 19, 2018)

    Designed and implemented the proprietary view generation services and portfolio backtesters.
    Implemented the tax-aware optimizer for a new multi-billion fund launch.
    Developed an internal statistical library that offers comprehensive data analysis tools for financial time series


    Greenwich, CT

All Publications

  • Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices Chen, V. S., Wu, S., Weng, Z., Ratner, A., Re, C., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2019
  • Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data Weng, Z., Varma, P., Masalov, A., Ota, J., Re, C., IEEE IEEE. 2019: 119–25