About Tyler Lee

AI Research Scientist
📍 Seoul, South Korea

LinkedIn
📧 tylee0325 [at] gmail.com

About Me

I am a passionate AI researcher dedicated to making meaningful contributions and achieving continuous professional growth. I co-founded Asleep Inc., where I accumulated over four years of experience building and deploying AI products to address real-world challenges like insomnia. My expertise includes AI modeling, clinical research, and handling complex engineering and operational challenges.

I thrive at the intersection of technology and impactful problem-solving, with a focus on Explainable AI, Representation Learning, Reinforcement Learning, and Domain Adaptation. Through both startup leadership and rigorous academic training, I have developed a deep understanding of AI systems and look forward to applying my skills toward solving challenging problems.

Research Interests

  • AI Modeling & Representation Learning
    (Generative Models, Domain Adaptation)
  • ML Robustness and Efficiency
  • Explainable AI and Clinical AI Applications

Experience

Asleep Inc.

📆 2020.06 – 2024.08
Cofounder & Director of AI

  • Developed EEG-based AI sleep models in collaboration with Seoul National University Bundang Hospital, achieving state-of-the-art performance.
  • Published research in Nature and Science of Sleep and JMIR Mhealth Uhealth, advancing the company's impact in the sleep tech industry. (Wired Feature)
  • Led clinical studies and integrated AI services with data pipelines from hospitals and consumer apps, automating processes for rapid publication and operational efficiency.

Chief Operating Officer (COO) (2021.11 – 2023.04)

  • Managed HR and internal operations, aligning company growth with organizational principles.
  • Secured compliance with GDPR and CPPA regulations while leading investor relations and business operations.

Lanada Lab, KAIST

📆 2018.03 – 2020.06

  • Led research projects on Multi-agent Reinforcement Learning and IoT networks with partners such as KEPCO and NAVER.

Publications

Journal Papers

J1. Taeyoung Lee*, Younghoon Cho*, Kwang Su Cha et al., “Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study”, JMIR mHealth and uHealth, Volume 11, 2023

J2. Taeyoung Lee*, Jung Kyung Hong*, Roben Deocampo Delos Reyes et al., “Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring” Nature and Science of Sleep, Volume 13, 2021

Conference Papers

C1. Hai Tran, Sumyeong Ahn, Taeyoung Lee, and Yung Yi, “Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation” Proceedings of International Conference on Pattern Recognition (ICPR), 2020.

C2. Jinhwan Jung, Daewoo Kim, Taeyoung Lee et al., “Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization” Proceedings of International Conference on Information Processing in Sensor Networks (IPSN), 2020.

C3. DaewooKim, SangwooMoon, David Hostallero, WanJu Kang, Taeyoung Lee et al., “Learning to Schedule Communication in Multi-agent Reinforcement Learning” Proceedings of The International Conference on Learning Representations (ICLR), 2019.

Abstracts and Posters

A1. Taeyoung Lee, Kwang Su Cha, Seunghun Kim et al., “Evaluation of a Sound-Based Deep Learning Model with Polysomnography in a patient with Obstructive Sleep Apnea using Positive Airway Pressure Therapy” Chest, 2023. (poster)

A2. Taeyoung Lee, Younghoon Cho, Kwang Su Cha et al., Comparative Analysis of 11 Consumer Sleep Trackers with Polysomnography, World Sleep, 2023. (Oral presentation)

Education

  • Ph.D. Candidate (All But Dissertation), School of Electrical Engineering, KAIST
  • M.S. in Electrical Engineering, KAIST
    Thesis: “Failure prediction of deep learning models for PSG-based sleep stage classification through dropout confidence.”
  • B.S. in Physics, KAIST

Honors & Awards

  • Kwanjeong Educational Foundation Scholarship (2019-2021)
  • Samsung Humantech Thesis Prize (2019, 2020)
  • KAIST Invention Award, Grand Prize (2017)
  • ICT Achievement Award, Ministry of Science and ICT (2017)