cv

Senior Applied Scientist, Adobe Foundation Model team. Reinforcement learning and post-training for multimodal foundation models. Hosting research interns for summer 2027 — kewang [at] adobe [dot] com. The CV below reflects my current role; the downloadable PDF is a January 2026 snapshot.

Education

  • 2018 - 2023
    Ph.D. in Electrical Engineering and Computer Sciences
    University of California, Berkeley
  • 2014 - 2018
    B.E. in Biomedical Engineering
    Tsinghua University

Experience

  • Sep 2026 - Present
    Senior Applied Scientist
    Adobe · Foundation Model team
    • Reinforcement learning and post-training for multimodal foundation models.
  • Former
    Head of Applied Research
    Pika Labs
    • Led applied research for generative AI applications and co-led the agent research behind Pika.me.
  • 2024 - 2025
    Computer Scientist
    Adobe Inc. Computational Photography Team
    • Developed real-world computational photography applications, including burst super-resolution for Project Indigo.
  • 2023 - 2024
    Senior Research Engineer
    Samsung Research America (MPI Lab)
    • Working on real-world computational imaging applications for next-generation AI camera.
  • 2018 - 2023
    Graduate Student Researcher
    University of California, Berkeley
    • Perceptual feature loss for advanced MRI reconstruction.
    • Direct contrast synthesis from Magnetic Resonance Fingerprinting.
    • Memory-efficient learning for high-dimensional MRI reconstruction.
    • Complex-valued scattering representations for image classifications.
  • 2022 - 2023
    Research Scientist Intern
    Adobe Research
    • Developed real-world parametric image harmonization pipeline.
    • Work accepted to CVPR 2023, patent filed, product delivered.
  • May - Aug 2021
    Research Intern
    Emerging Product Team @ Adobe
    • Developed high-resolution image matting algorithms for smart devices.
    • Work submitted to ICCV 2023, patent filed, product delivered.
  • Jun - Aug 2017
    Research Assistant
    Stanford University
    • Developed temperature imaging pipelines using thermoacoustic imaging.
  • 2015 - 2018
    Undergraduate Research Assistant
    Tsinghua University
    • Developed high-fidelity and high-efficiency reconstruction algorithms for Magnetic Resonance Temperature Imaging.

Service

  • 2026
    Reviewer for CVPR
  • 2025
    Reviewer for NeurIPS, ICML, ICLR
  • 2024
    Reviewer for NeurIPS, ICML, ICLR, Siggraph, MICCAI
  • 2023
    Reviewer for ISMRM, Siggraph, Siggraph Asia, MICCAI, NeurIPS
  • 2022
    Reviewer for MICCAI, EMBC, ISMRM
  • 2023 -
    Reviewer for Scientific Report
  • 2023 -
    Reviewer for Quantitative Imaging in Medicine and Surgery
  • 2022 -
    Reviewer for Magnetic Resonance in Medicine
  • 2022 -
    Reviewer for IEEE Transaction on Medical Imaging
  • 2022 -
    Reviewer for Frontiers in Oncology
  • 2022 -
    Reviewer for Computational and Mathematical Methods in Medicine
  • 2020 -
    Reviewer for IEEE Transactions on Circuits and Systems for Video Technology