Chih-Yao Ma
Scholar

Chih-Yao Ma

Google Scholar ID: HrrtgKkAAAAJ
Member of Technical Staff @ Microsoft AI
Generative ModelComputer VisionNatural Language ProcessingMachine LearningDeep Learning
Citations & Impact
All-time
Citations
3,752
 
H-index
21
 
i10-index
26
 
Publications
20
 
Co-authors
42
list available
Resume (English only)
Research Experience
  • Member of Technical Staff at Microsoft AI (June 2025 – Present), building native multimodal foundation models with Nando de Freitas, Karén Simonyan, and Mustafa Suleyman.
  • Staff Research Scientist at Meta (Aug. 2023 – June 2025), lead IC on Movie Gen, co-led training codebase and model architecture design, led model scaling, co-led post-training, and was a core contributor to Emu.
  • Senior Research Scientist at Meta (Feb. 2022 – July 2023), focused on generative models, federated learning, and semi-supervised learning.
  • Research Scientist at Meta (Aug. 2020 – Jan. 2022), worked on data-efficient learning.
  • Research Intern at Meta (Summer & Fall 2019), worked on self-supervised learning with Marcus Rohrbach (FAIR), Yannis Kalantidis (AML), Kan Chen, and Peter Vajda.
  • Research Intern at Salesforce Research (Summer 2018), worked on vision-and-language navigation with Caiming Xiong and Richard Socher.
  • Research Intern at NEC-Labs Machine Learning (Summer & Fall 2017), worked on relational reasoning for human action recognition and video captioning with Asim Kadav.