Hi, I'm Seonjae , currently based in Dublin, Ireland. I recently graduated with a Master's degree in Machine and Statistical Learning at Sorbonne University in Paris. With a strong background in both mathematics and computer science, I specialize in machine learning and artificial intelligence, with a particular interest in biomedical applications. My interests extend beyond academics into activities like Brazilian Jiu-Jitsu, rock climbing, and 3D modelling.

Seonjae Kang

Hi, I'm Seonjae , currently based in Dublin, Ireland. I recently graduated with a Master's degree in Machine and Statistical Learning at Sorbonne University in Paris. With a strong background in both mathematics and computer science, I specialize in machine learning and artificial intelligence, with a particular interest in biomedical applications. My interests extend beyond academics into activities like Brazilian Jiu-Jitsu, rock climbing, and 3D modelling.

Available to hire

Hi, I’m Seonjae , currently based in Dublin, Ireland. I recently graduated with a Master’s degree in Machine and Statistical Learning at Sorbonne University in Paris. With a strong background in both mathematics and computer science, I specialize in machine learning and artificial intelligence, with a particular interest in biomedical applications.

My interests extend beyond academics into activities like Brazilian Jiu-Jitsu, rock climbing, and 3D modelling.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
French
Fluent
Korean
Advanced

Work Experience

Research Intern at University College Dublin
November 30, 2024 - July 21, 2025
Carried out an extensive literature review on clustering and classification techniques for hyperspectral imaging. Implemented Sparse Subspace Clustering and variants in MATLAB, performing parameter tuning and adding background filtering techniques to improve baseline performance by 5%. Wrote a 46-page Master’s degree thesis and presented a 20-minute defence titled "Sparse Clustering Techniques for Hyperspectral Imaging". Achieved a final grade of 95/100.
Summer Research Intern at Trinity College Dublin
August 31, 2023 - July 21, 2025
Carried out a literature review on the Stochastic Galerkin method. Studied potential applications of the method to floating point error optimisation.
Mathematics Tutor at Complétude
April 30, 2024 - July 21, 2025
Tutored secondary school students in Mathematics and Physics. Prepared lesson plans and designed mathematics exercises for the purpose of exam preparation.
Research Intern at University College Dublin
November 1, 2024 - August 29, 2025
Conducted an extensive literature review focused on clustering and classification techniques for hyperspectral imaging. Implemented Sparse Subspace Clustering and variants using MATLAB, including parameter tuning and background filtering, which enhanced baseline performance by 5%. Authored a 46-page Master’s thesis titled 'Sparse Clustering Techniques for Hyperspectral Imaging' and delivered a 20-minute thesis defense presentation. Achieved an excellent final grade of 95/100.
Summer Research Intern at Trinity College Dublin
August 1, 2023 - August 29, 2025
Performed a literature review on the Stochastic Galerkin method and explored its potential applications for optimizing floating point errors.
Mathematics Tutor at Complétude
April 1, 2024 - August 29, 2025
Provided tutoring in Mathematics and Physics to secondary school students. Responsibilities included preparing lesson plans and designing exercises tailored to exam preparation.

Education

Master’s in Machine and Statistical Learning at Sorbonne University
September 1, 2023 - December 1, 2024
Master 1 in Mathematics and Applications at Sorbonne University
September 1, 2022 - September 1, 2023
Double Bachelor’s in Mathematics and Philosophy at Sorbonne University
September 1, 2019 - August 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Healthcare, Professional Services, Software & Internet, Life Sciences

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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