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Minuk Ma

My mission is to harness the power of computer science to make a meaningful impact on people's lives. I'm particularly fascinated by the revolutionary convergence of AI technology and the biomedical field, where advanced predictive models and representation learning are transforming how we understand and analyze biological big data. My journey began at KAIST, where I earned my Master's degree in Electrical Engineering in 2020 under the guidance of Prof. ChangDong Yoo. There, I focused on developing deep learning methods for integrating video and language modalities. This foundation led me to Lunit Inc., where I spent three years developing AI-powered histopathology image analysis tools, bridging the gap between artificial intelligence and clinical diagnostics. Currently, I'm pursuing my Ph.D. at the University of British Columbia under Prof. Jiarui Ding's supervision. Our research focuses on developing computational tools for single-cell multi-omics data analysis, with a particular emphasis on immune profiling. My passion lies in building large-scale AI models that can effectively integrate atlas-level data and leverage this knowledge to predict clinical outcomes, ultimately advancing our understanding of human immune system.

Contact
Mobile IconMOBILE:+1 778 712 2396
Email IconE-MAIL: minukma@cs.ubc.ca, akalsdnr3@gmail.com
Address IconADDR: 2111, Lower Mall, Vancouver, BC

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EpitopeGen Icon

EpitopeGen

Repertoire-level generation of T-cell epitopes with a large-scale generative transformer, Biorxiv, 2025

Our breakthrough research introduces a novel computational approach that maps T-cell receptor (TCR) sequences to their cognate epitope sequences using advanced machine learning. Built on a GPT-2 architecture, EpitopeGen enables comprehensive analysis of immune repertoires, with applications in cancer immunotherapy, infectious disease research, and vaccine development.

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