Matthew Gwilliam (Preferred)
Matthew Gwilliam
Researcher, Institute of Foundation Models, Mohamed bin Zayed University of Artificial Intelligence
Researcher, TikTok
Joined
February 2020
Names
Emails
****@gmail.com (Confirmed)
****@umd.edu (Confirmed)
****@cs.umd.edu (Confirmed)
****@bytedance.com (Confirmed)
****@mbzuai.ac.ae (Confirmed)
Personal Links
Career & Education History
Researcher
Institute of Foundation Models, Mohamed bin Zayed University of Artificial Intelligence (mbzuai.ac.ae)
2026 – Present
Researcher
TikTok (bytedance.com)
2025 – 2026
PhD student
Computer Science, University of Maryland, College Park (umd.edu)
2020 – 2025
Intern
NVIDIA (nvidia.com)
2024 – 2024
Intern
SRI International (sri.com)
2023 – 2023
Intern
Amazon (amazon.com)
2022 – 2022
Undergrad student
Brigham Young University (byu.edu)
2014 – 2019
Advisors, Relations & Conflicts
Expertise
deep learning
, CNNs
, object recognition
Present
deep learning
, internal learning
, video representation
Present
unsupervised learning
, image recognition
Present
implicit neural representation
, video compression
Present
image generation
, video generation
, diffusion models
Present
Publications
Co-Authors
- Abhinav Shrivastava
- Adam Teuscher
- Ajay Divakaran
- Alex Hanson
- Andrew Merrill
- Anirud Aggarwal
- Anubhav Gupta
- Archana Swaminathan
- Archit Ramanasai Kambhamettu
- Bo He
- Connor Anderson
- Di Wu
- Dimitar Sht. Shterionov
- Eric Zhu
- Eva Vanmassenhove
- Evelyn Gaskin
- Gihan Jayatilaka
- Han Cai
- Hao Chen
- Jun Ohya
- Karan Sikka
- Lade Tinubu
- Mara Levy
- Max Ehrlich
- Meng Ye