About Me

I am an applied scientist at Amazon, working on Large Language Models (LLMs).

Previously, I received Ph.D. from KAIST Computer Science, advised by Prof. Sung-Ju Lee. My Ph.D. research focused on the intersection of Privacy-Preserving ML - Federated Learning (FL) and on-device NLP, uncovering novel and efficient applied machine learning technologies on smartphones and wearables.

Work Experiences

Amazon, Applied Scientist
- Feb. 2025 - Present in Santa Clara, CA
Cisco Research, Ph.D. Software Engineer Intern
- Mar. 2023 - Aug. 2023 in Seattle, WA
- Mentor: Myungjin Lee
Microsoft Research Asia, Ph.D. Research Intern
- Dec. 2020 - Jun. 2021 in Beijing, China (Remote)
- Mentors: Yuanchun Li and Yunxin Liu
Oracle, Software Engineer Intern
- Jun. 2017 - Aug. 2017 in Seoul, Republic of Korea
- Mentors: Jungnam Lee and Chris Lee

Education

Ph.D. in Computer Science, KAIST (integrated with M.S.)
- Mar. 2018 - Aug. 2024
- Networking & Mobile Systems Lab (Advisor: Prof. Sung-Ju Lee)
- Dissertation: Efficient Federated Learning System for Mobile Artificial Intelligence Development
  
  Ph.D. Dissertation Award from College of Engineering 🏆
B.S. in Computer Science, KAIST
- Mar. 2014 - Feb. 2018

Publications

Preprints

Time and Resource Efficiency Analysis on Synchronous and Asynchronous Federated Learning

Jaemin Shin et al.

in submission
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study

G. A. Baumgart, Jaemin Shin, A. Payani, M. Lee, R. R. Kompella

[pdf] [bibtex]

arXiv preprint
Federated Learning with Incomplete Sensing Modalities

A. Orzikulova, J. Kwak, Jaemin Shin, S-J. Lee

[pdf] [bibtex]

arXiv preprint

Conferences and Journals

(FL)²: Overcoming Few Labels in Federated Semi-Supervised Learning

S. Lee, T-L. V. Le, Jaemin Shin, S-J. Lee

[pdf] [bibtex]

NeurIPS 2024
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning

Jaemin Shin, H. Yoon, S. Lee, S. Park, Y. Liu, J. D. Choi, S-J. Lee

[pdf] [website] [video] [slides] [bibtex]

EMNLP 2023
Flame: Simplifying Topology Extension in Federated Learning

H. Daga, Jaemin Shin, D. Garg, A. Gavrilovska, M. Lee, R. R. Kompella

[pdf] [bibtex]

SoCC 2023
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients

Jaemin Shin, Y. Li, Y. Liu, and S-J. Lee

[pdf] [website] [video] [code] [slides] [bibtex]

MobiSys 2022
MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame

Jaemin Shin, S. Lee, T. Gong, H. Yoon, H. Roh, A. Bianchi, and S-J. Lee

[pdf] [website] [video] [slides] [bibtex]

CHI 2022 Best Paper Honorable Mention Award 🏆
Use MU-MIMO at Your Own Risk - Why We Don't Get Gb/s Wi-Fi

H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee

[pdf] [bibtex]

Ad Hoc Networks 2019

Posters, Demos, and Workshop Papers

Demo: Accurate Eating Detection on a Daily Wearable Necklace

Jaemin Shin, S. Lee, and S-J. Lee

[pdf] [bibtex]

MobiSys 2019
Poster: Dissecting 802.11ac Performance-Why You Should Turn Off MU-MIMO

H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee

[pdf] [bibtex]

MobiSys 2019
Considerations on Deploying High-Performance Container-based NFV

*D. Hong, *Jaemin Shin, S. Woo, and S. Moon (* equal contributions)

[pdf] [bibtex]

CAN 2017 Best Paper Award 🏆

Honors and Awards

Ph.D. Dissertation Award, KAIST College of Engineering, 2025
KAIST Breakthroughs, 2024
Naver Ph.D. Fellowship, 2022
Best Paper Honorable Mention Award, ACM CHI, 2022
Best Paper Award, CAN Workshop co-located with ACM CoNEXT, 2017

Professional Services

Reviewer, ACM CHI 2024 - 2025
Reviewer, ACM IMWUT (a.k.a. UbiComp) 2020 - 2023
Reviewer, IEEE TMC 2018, 2022 - 2023
Reviewer, IEEE TNNLS 2024 - 2025
Reviewer, ACM HEALTH 2025

Miscellaneous

I love playing double reed instruments. I have performed in 20+ amateur orchestra performances and am still looking for opportunities to play. :)