I’m an Applied Scientist at Amazon AWS AI Labs, working on a vision-language model for the AWS Bedrock service. I was previously a Research Scientist at Meta Reality Labs, where I developed neural network systems to interpret EMG signals for next-generation human-computer interaction. I completed my Ph.D. in Electrical & Computer Engineering at Yale University in 2024, advised by Prof. Priyadarshini Panda, and received my B.S. in Electronic Engineering from Sogang University in 2018 and my M.S. in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 2020. I’ve also worked as an Applied Scientist Intern at Amazon AWS AI in Seattle and completed AI research internships at Kakao Corporation, SK Telecom T-Brain, and Samsung Advanced Institute of Technology (SAIT) in South Korea. My research interests include efficient machine learning algorithms, computer vision, algorithm-hardware co-design, and neuromorphic computing.

News

2025

• July: 🔥NEW I joined Amazon AWS AI Labs as an Applied Scientist
• June: 🔥NEW One paper is accepted to ICCV 2025
• March: One paper is accepted to CVPR 2025

2024

• July: Three papers are accepted to ECCV 2024
• May: I joined Meta Reality Lab as a Machine Learning Research Scientist
• May: I successfully defended my thesis - Algorithmic Approaches for Empowering Spike-based Machine Intelligence.

2023

• Dec: A paper regarding Efficient Inference on SNNs is accepted to NeurIPS2023.
• May: I am excited to announce that I will be joining Amazon (AWS AI) as a summer intern.
• May: A paper regarding Representation Similiary between ANNs and SNNs is accepted to Transactions on Machine Learning Research.
• March: A paper regarding Neural Architecture Search (NAS) for Crossbar is accepted to DAC2023.
• Feb: A paper regarding Fisher Information Analysis on SNNs is accepted to AAAI2023.

2022

• Nov: A paper regarding Human Action Recognition (HAR) using SNNs is accepted to NeurIPS2022 Workshop.
• Oct: SNN Segmentation work is accepted to ” Neuromorphic Computing and Engineering, IOP Publishing (2022).
• Oct: A paper regarding SNN training accelerator is accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022).
• July: We got the best paper awards in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) 2022!!!!!
• July: Three papers are accepted to ECCV 2022!!! 1 oral, 2 posters
• June: One paper regarding the robustness of SNN on memristive crossbar is accepted to ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2022
• Feb: One paper regarding privacy-preserving SNN is accepted to AAAI 2022.
• Jan: One paper regarding analysis on SNN coding schemes is accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.

2021

• Nov: One paper regarding batchnorm tehchnique for SNN is accepted to Frontier in Neuroscience.
• Oct: One paper regarding SNN in Federated Learning is accepted to IEEE Transactions on Signal Processing (TSP).
• Oct: One paper regarding SNN with DVS sensor dataset is accepted to Neural Networks.
• Sep: One paper regarding SNN interpretation tool is accepted to Nature Scientific Report.
• Sep: One paper regarding memristive crossbar is accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
• Sep: One paper regarding source-free domain adaptation is accepted to IEEE IEEE Transactions on Artificial Intelligence (TAI).
• June: I have joined Samsung Advanced Institute of Technology (SAIT) as a research intern to work on Neuromorphic Computing. We devise the algorithm that can mitigate the intrinsic noise in the memristive crossbar - Accepted to 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
• Feb: One paper regarding domain adaptation is accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).