Youngmok Jung
tom418@kaist.ac.kr | Google Scholar | CV

I am a computer science PhD candidate at INA lab, KAIST advised by Dongsu Han. Before then, I received my BS degree in Electrical Engineering in KAIST, South Korea.
I am interested in developing real-world systems that use AI/ML approaches. Real-world systems have assumptions that are often different from those of AI/ML approaches. My works aims at 1) designing new system that uses AI/ML approaches; 2) improving the AI/ML approaches leveraging the assumptions in the system. All my work involves several months of implementation followed by thorough testing in real-world data.
Recently, I am striving to redesign genomics software using AI/ML approaches. In the past, I worked on various topics in image super-resolution based on neural network and video delivery system.
I will be graduating at Febuaray, 2024 and looking for US-based tech company
Awards and Honors
Feb, 2023 | Samsung Electronics 29th Humantech Paper Award (Silver Prize, Communication & Networks) |
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Feb, 2022 |
Samsung Electronics PhD Scholarship ![]() |
Spring, 2021 | KAIST Breakthrough of the Year 2021, Spring (LiveNAS, NEMO) |
Selected Publications
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BioinformaticsSIGCOMM
Publications
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CoNEXTSIGCOMMEuroSysMobicom
Experiences
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Adapting AI & ML to SystemSystem Design and Development
Opensource
BWA-MEMEhttps://github.com/kaist-ina/BWA-MEME - Short-read alignment software, released for benefit of research community.
Skills
Programming Languages: Python, C, C++, SQL, UNIX shell scriptingFrameworks: Tensorflow, Pytorch, Spark, Hadoop, Python Django, Cloudstack
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