Meng Zhou
Welcome!
I have worked as a Machine Learning Engineer at a Medical AI startup company, focused on multilingual LLMs (Technical Report) and LLM-applications on medical text analysis.
Previously, I obtained my Master of Science (MSc.) degree in Computer Science at the University of Toronto in March, 2024, where I am very fortunate to be advised by Prof. Farzad Khalvati at the Intelligent Medical Informatics Computing Systems Lab. I was affiliated with The Hospital for Sick Children (SickKids) Research Institute, one of the top three pediatric health-care centres in the world, where I worked in the Department of Neurosciences & Mental Health. I have also spent a wonderful four months at AltaML Government AI lab, working on an Aerial Image Segmentation project for the public sector.
I am open to any collaborations on (Multimodal) Foundation Models for Medical Imaging
🔥🔥🔥 News
- (Feb. 2025), I will serve as a Reviewer for MICCAI 2025 at Daejeon, Republic of Korea; and as a Program Commitee Member for IEEE BIBM 2025 at Wuhan, China
- (Nov. 2024), Our paper on autoregressive tumor ROIs generation has been accpected to Computers in Biology and Medicine as a regular paper! Link
- (Oct. 2024), Our paper on multimodal medical image fusion has been accpected to IEEE BIBM 2024 as an oral short paper, congratulations to all co-authors! Arxiv Extended Version, Slides
- (Sept. 2024), Our technical report on Multilingual Large Language Models for Medicine is on Arxiv.
- (Aug. 2024), I serve as a Program Committee Member for IEEE BIBM 2024 at Lisbon, Portugal.
- (Jun. 2024), One paper submitted to Journal of Computer Assisted Surgery.
- (Jun. 2024), I serve as a Reviewer for IEEE SMC 2024 and MICCAI 2024, DGM4MICCAI Workshop.
- (Apr. 2024), Our paper on conditional generation of brain tumor ROIs has been accepted to MIDL 2024 as a poster paper, see you in Paris! OpenReview, Poster, Best Posters Paper Shortlist (32 long papers).
- (Jan. 2024), I compeleted my Master of Science in Computer Science at the University of Toronto.
- (Jul. 2023), I received the Ontario Graduate Scholarship (OGS) at the University of Toronto DCS!
- (Oct. 2022), I received Mergelas Family Graduate Student Award from the Temerty Faculty of Medicine at the University of Toronto!
- (Apr. 2022), One paper submitted to Journal of Machine Learnig Research, under revision.
- (Mar. 2022), One abstract accepted to Imaging Network Ontario, Poster.
📖 Research
My current research interest is on Medical LLMs, taming LLMs for multilingual medical question-answering tasks, and Multimodal fundation models for Medical Imaging. I also have strong interests on Medical Image Analysis, particularly in developing 3D Medical Image Generation model to improve the diagnostic (segmentation and classification) performance of rare diseases, such as (Pediatric) brain tumors. Previously, I have worked on the Sequential Decision research on Multi-Armed Bandits.
My research could be categorized into:
- Computational Methodology in Medical Data (image, text, time series data, etc.)
- Deep Learning applications for Medical Image Analysis (image fusion)
- Medical Image Generation (Image Transformer, Diffusion models, Vision-Language, LVMs, etc.)
- NLP for medical text (LLMs)
- Contextual Multi-armed Bandit Problems
I am funded by the Department of Computer Science, Temerty Faculty of Medicine at the University of Toronto, Mitacs Research Grant, SickKids Hospital, and the Ontario Graduate Scholarship.
🏆 Honors and Awards
- Mitacs Research Grant, Department of Computer Science & AltaML Inc., University of Toronto, 2024
- Ontario Graduate Scholarship Recipient, Department of Computer Science, University of Toronto, 2023
- Graduate Program Fellowship, Department of Computer Science, University of Toronto, 2023
- Mergelas Family Graduate Award, Temerty Faculty of Medicine, University of Toronto, 2022
- Dean’s Honor List, Queen’s University, 2019-2022
- John Ursell Tutor Award, Queen’s University, 2020
🚩 Other Milestones
- I obtained my Honours Bachelor’s degree in Computing, Specialized in Computing and Mathematics from Queen’s University. During my undergrad years, I have the privilege to work under the supervision of Prof. Parvin Mousavi at the Medical Informatics Laboratory on my undergraduate honours thesis, “Domain Transfer Through Image-to-Image Translation in Prostate Cancer Detection”; and Prof. Yanglei Song on the Contextual Multi-Armed Bandit problem. You can see more details in the Publicaton section on the top.
- I graduated from the Advanced Placement Program, Yale Secondary School, a beautiful high school in British Columbia in June 2017.
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