I am an AI research scientist at Genome Insight, where I collaborate with geneticists to develop secondary and tertiary analysis solutions for genomics data, aiming to uncover novel biological insights to enhance human health. Also, I am a computer science PhD candidate at INA lab, KAIST co-advised by Dongsu Han and Young Seok Ju. Expected date of graduation is February, 2024. Before then, I received my BS degree in Electrical Engineering in KAIST, South Korea.
My interests are in crafting high-performance systems that incorporate AI/ML approaches. I concentrate on utilizing underlying assumptions of real-world systems to enhance the integration of AI/ML techniques. My works aims at 1) designing efficient system built on AI/ML approaches; 2) improving AI/ML approaches by exploiting system-specific assumptions. All my work involves several months of implementation followed by thorough testing in real-world data.
Recently, I am striving to develop secondary and tertiary analysis solutions for genomics data using AI/ML approaches. Concurrently, I worked on various topics in high-performance networked systems, including AI enhanced video delivery system and data-center networking.
Awards and Honors
|Feb, 2023||Samsung Electronics 29th Humantech Paper Award (Silver Prize, Communication & Networks)|
|Feb, 2022||Samsung Electronics PhD Scholarship|
|Spring, 2021||KAIST Breakthrough of the Year 2021, Spring (LiveNAS, NEMO)|
PreprintGeneralizing deep variant callers via domain adaptation and semi-supervised learningpreprint 2023BioinformaticsBWA-MEME: BWA-MEM emulated with a machine learning approachOxford Bioinformatics, 2022SIGCOMMLiveNAS - Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online LearningIn Proceedings of ACM SIGCOMM conference, 2020
CoNEXTCo-optimizing for Flow Completion Time in Radio Access NetworkIn Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022SIGCOMMNeuroScaler: Neural Video Enhancement at ScaleIn Proceedings of ACM SIGCOMM conference, 2022EuroSysTowards Timeout-less Transport in Commodity Datacenter NetworksThe 16th European Conference on Computer Systems, 2021MobicomNEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile DevicesThe 26th Annual International Conference on Mobile Computing and Networking, 2020OSDINeural Adaptive Content-aware Internet Video Delivery13th USENIX Symposium on Operating Systems Design and Implementation, 2018
AI & ML for SystemDesigning AI-enhanced high-performance networked systemsEnhancing genome analysis pipeline with AI and ML techniques
Collaborative ProjectsNAS: Neural Adaptive Content-aware Internet Video DeliveryNEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile DevicesTLT: Towards Timeout-less Transport in Commodity Datacenter NetworksNeuroScaler: Neural Video Enhancement at Scale
SkillsProgramming Languages: Python, C, C++, SQL, UNIX shell scriptingFrameworks: Tensorflow, Pytorch, Spark, Hadoop, Python Django, Cloudstack