I am a math major at Princeton University with minors in computer science and machine learning. I believe in learning by doing, and I always welcome new, exciting challenges that will help me grow. Each summer, I explored different interests, from conducting math research, founding a startup, and interning as a software engineer or a machine learning engineer. I also developed multiple personal projects and contributed to several open-source projects, I spend my free time teaching or translating, because I believe that sharing knowledge will make the world a better place.
Princeton University
Bachelor of Arts in Mathematics - -
Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students
Accepted to SIGCSE 2021
MagNet: A Machine Learning Framework for Magnetic Core Loss Modeling
Accepted to IEEE COMPEL 2020
Experiments with the Markoff Surface
Published in Experimental Mathematics (2020)
Princeton Power Electronics Research Lab
Research Assistant
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I worked with Haoran Li under Minjie Chen to create a dataset of a large amount of voltage and current data of different magnetic components measured in the real world. With the collected data, we experimented with combinations of existing techniques and deep learning algorithms to predict magnetic core loss.
Princeton University
Course Assistant - SML201: Introduction to Data Science
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I have worked as a course assistant for two semesters for an introductory data science course, leading class discussion in weekly meetings (precepts).
Bloomberg L.P.
Software Engineer Intern
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I interned in the Data Technologies Automation Engine team and used unsupervised learning and weakly supervised learning to improve performance without using labelled data.
SK T-Brain
Machine Learning Research Intern
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I have interned in the Conversational AI team and participated in the Eighth Dialog System Technology Challenge (DSTC8). My work focused on developing a word-level policy that maps a context to a response.
Google Summer of Code: TensorFlow
Student Software Developer
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My Google Summer of Code proposal was accepted by the TensorFlow team in Summer 2019 and 2020. In 2019, I worked on TF-Agents, TensorFlow's reinforcement learning library. In 2020, I worked on Swift for TensorFlow.
Scratchwork LLC
Co-founder and Software Developer
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I founded Scratchwork with 3 co-founders offering a whiteboard app customized for communication between researchers.
optuna/optuna
A hyperparameter optimization framework
kairproject/kair_algorithms
Reinforcement learning for robot control
seungjaeryanlee/MagNet
Database for predicting magnetic core loss with neural networks trained with AutoML
seungjaeryanlee/retro-agents
Reinforcement learning agents trained on Sonic the Hedgehog
Reproducibility Challenge
Reviewer
I was a reviewer for NeurIPS 2019 Reproducibility Challenge and ICLR 2019 Reproducibility Challenge.
COVID Translate Project
Korean-to-English Translator
I translated parts of Korean CDC's COVID-19 Response Guidelines under Professor Sebastian Seung.
Princeton University
Undergraduate Course Assistant
I hold weekly precepts and one-to-one appointments for SML201: Introduction to Data Science.
New York University
English-to-Korean Translator
I translate parts of the course materials for Deep Learning (DS-GA 1008) to Korean.
Coursera
Mentor
I am a mentor for Neural Networks and Deep Learning course by deeplearning.ai.
OpenMined
English-to-Korean Translator
I translated parts of the OpenMined's PySyft tutorial to Korean.
Modulabs
Deep Reinforcement Learning Seminar Leader
I developed the syllabus and led the Deep Reinforcement Learning Seminar with 11 participants.
Deep Learning Zero To All 2
PyTorch Content Contributor
I wrote Jupyter notebooks and recorded lectures for Korean introductory deep learning course in PyTorch.