Sorn Chottananurak
Machine Learning Researcher / Data Scientist
Latest News
May 2025
Our paper, Test-Time Adaptation with Binary Feedback, was accepted to ICML 2025!
March 2025
I was accepted into the MSc program in Computer Science (AI) at ETH Zurich!
February 2025
I graduated from KAIST with Summa Cum Laude (First-Class Honors), 3rd rank in the School of Computing, 9th rank in the University
February 2025
I was selected for Outstanding Graduate (GPA) Award!
October 2024
I was selected for the College of Engineering (CoE) Leadership Award!
October 2024
I was on the Dean's List for the Spring Semester 2024 with a GPA of 4.16/4.30!
September 2024
My project won the Grand Prix (1st place) in the URP workshop!
July 2024
My URP project was selected for an oral presentation in the URP workshop!
June 2024
Our project, OceanSpace, was selected as one of the top 6 finalists in the Typhoon Hackathon 2024, Thailand!
January 2024
Our paper, AETTA, was accepted to CVPR 2024!
December 2023
I was selected to participate in the URP program!
September 2023
Our paper, SoTTA, was accepted to NeurIPS 2023!
June 2023
I joined Siam Commercial Bank (SCB) as a data scientist intern in credit risk team!
June 2022
I joined NMSL as an AI/ML researcher, working on HCI, Mobile Computing, and Machine Learning!
March 2021
I was on the Dean's List for the Fall Semester 2020 with a GPA of 4.27/4.30!
About Me
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Sorn
Chottananurak
Hello There!
I am a fresh graduate from the Korea Advanced Institute of Science & Technology (KAIST) with double majors in Computer Science and Electrical Engineering. My research and professional interests span across machine learning, data science, domain adaptation, personalized AI, generative AI, and topics beyond supervised learning (semi-supervised learning, self-supervised learning, and unsupervised learning).
As an active researcher, I am working on innovative projects related to state-of-the-art technology in machine learning and data science. Currently, I am exploring new opportunities that align with my passion and expertise.
Feel free to check out my Resume!
Experience
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Work Experience
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AI/ML Researcher
Networking & Mobile Systems Lab (NMSL) 2022 - 2025I have been deeply involved in end-to-end research across several fields, including Machine Learning, Mobile Systems, and Human-Computer Interaction. I have contributed to and played a significant role in advancing 7 research projects from ideation to paper-writing, three of which have led to publications in top-tier conferences.
Here are some of my research projects : AETTA, SoTTA, Attention -
Data Scientist Intern
Siam Commercial Bank (SCB) 2023I led the 'Risk-Based Pricing and Cut-off Optimization' project in the Credit Risk Team. I developed an optimization solution using CVXPY and reinforcement learning, along with a novel multiplier grading system. This approach was mathematically shown to maximize Risk-Adjusted Return on Capital (RAROC), enhancing pricing and decision-making processes.
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KAIST Official Tutor in Computer Science
Korea Advanced Institute of Science & Technology (KAIST) 2022Recognized for outstanding academic performance in Computer Science, I was selected by the University as a KAIST Official Computer Science Tutor, where I tutored freshmen and sophomores in CS101 (Introduction to Programming) and CS206 (Data Structures).
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Education
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B.S. College of Engineering
Double Major: Computer Science & Electrical EngineeringKorea Advanced Institute of Science & Technology (KAIST) 2020 - 2024Overall GPA: 4.13/4.30 (Transcript)
Summa Cum Laude (First-Class Honors)
3rd rank in the School of Computing
9th rank in the University
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Overall GPA: 3.98/4.00
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Pre-Secondary Education
Kasetsart University Laboratory School, Center for Educational Research and Development (KUS)2008 - 2017
Academic Projects
Publications
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Test-Time Adaptation with Binary Feedback Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee. International Conference on Machine Learning (ICML), 2025 Acceptance Rate: 26.9%. 
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SoTTA: Robust Test-Time Adaptation on Noisy Data Streams Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee. Conference on Neural Information Processing Systems (NeurIPS), 2023 * Equal Contribution. Acceptance Rate: 26.1%. [Paper] [Website] [Code] [Video/Poster]
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UWB Knows Who Spoke: Speaker Diarization with Speech Gesture Sensing and Audio Wan Ju Kang, Ryuhaerang Choi, Sorn Chottananurak, Sangwook Bak, Sung-Ju Lee. 
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Awards
Summa Cum Laude
Fall, 2024Highest academic distinction for outstanding graduates, i.e., first-class honors.
Outstanding Graduate (GPA) Award
Fall, 2024Recognized as a graduate with one of the highest GPAs in my class (3rd rank in the School of Computing, 9th rank in the University).
Finalist from Typhoon Hackathon, Thai Language AI for Inclusivity
Summer, 2024One of the top six projects among all participants.
Grand-Prix in Undergraduate Research Participation (URP) Program
Winter 2023 - Spring, 2024Awarded 1st place among all URP projects, receiving 3000 USD.
College of Engineering Leadership Award
Spring, 2024Top-selected undergraduate students at KAIST for outstanding academic publications.
Dean's List Academic Excellent Award
Spring, 2024Top 2% College of Engineering, KAIST. GPA: 4.16/4.30
Oral Presentation in Undergraduate Research Participation (URP) Program
Winter, 2023 - Spring, 2024Top-selected undergraduate students at KAIST to engage in active research activities.
Dean's List Academic Excellent Award
Fall, 2020Top 2% College of Engineering, KAIST. GPA: 4.27/4.30
National Scholarship Tier 1
Fall, 2020 - Spring, 2025Tuition fee and full amount of school support fees supported by Korea Government.
Contact me!
If you're into research, machine learning, or just want to chat about basketball, feel free to hit me up!