About
Hi! I’m Huyen, a first-year Ph.D. student in Computer Science at VinUniversity and Research Assistant at VinUni-Illinois Smart Health Center (VISHC), supervised by Dr. Hieu Pham and Dr. Mai Tran. My research focuses on AI in Biomedical Imaging.
I received my double-major Bachelor degree in Applied Information Engineering and International Commerce at Yonsei University in February 2023. I was a software engineering at Smallmachines, South Korea from January 2023 to February 2024.
Contact: huyen.lm@vinuni.edu.vn
Research Interest
Development of AI research for:
- Cell-image Analysis (Currently focusing on hiPSC-CMs for drug screening)
- Time-series Data Analysis
- Digital and Computational Pathology
News
- [Aug. 2024] I started a Ph.D. in Computer Science at VinUni-Illinois Smart Health Center, VinUniversity, with full-ride scholarship.
- [Jun. 2024] One paper “SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs” was selected for an invited talk at BME10 Conference 2024 in Phan Thiet, Vietnam.
- [Feb. 2024] I joined VinUni-Illinois Smart Health Center (VISHC) as Research Assistant under supervison of Dr. Hieu Pham. My research focus is on AI for Biomedical Imaging, in particular, quantifying sarcomere organization in fluorescently tagged human-induced Pluripotent Stem Cell-derived Cardiomyocytes (hiPSC-CMs). My work is a part of the project: Evaluate the Effectiveness of Anti-viral Drug using Polarized Light Imaging.
- [Dec. 2023] One patent: Choi Jun Kyu, You Jung Min, Le Minh Huyen, Lee Ju Hun. “Sepsis early diagnosis and prognosis prediction system and the method thereof” has been submitted to Korean Intellectual Property Office (KIPO).
- [Nov. 2023] I attended MEDICA 2023, one of the world largest medical B2B trade fairs, held in Düsseldorf, Germany.
- [Jan. 2023] I joined Smallmachines, a medical device manufacturing company based in Seoul, Korea, as a Software Engineer. My work focused on developing ML models for sepsis early diagnosis and prognosis, as well as building a website and mobile app to deploy these ML models.
Preprints
- Huyen Le, Khiet Dang, Tien Lai, Nhung Nguyen, Mai Tran, & Hieu Pham (2024). SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs. arXiv preprint arXiv:2405.17926, pdf