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Ph.D. Student @ National Taiwan University
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
National Taiwan University & KKCompany Technologies
Data Scientist
June 27, 2026 – Present
mirtoolkit_sheetsage
December 4, 2025 – December 4, 2025
mirtoolkit_sheetsage — GitHub repository
View Projectmir-model-collection
June 8, 2025 – June 13, 2025
mir-model-collection — GitHub repository
View ProjectMuseControlLite
April 14, 2025 – Present
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners [ICML 2025]
View ProjectPiCoGen
April 26, 2024 – December 4, 2025
PiCoGen (Piano Cover Generation) is an academic project aimed at developing an automatic piano cover generation system.
View Projectdataset-pop1k7
April 26, 2024 – April 26, 2024
A mirror of AIlabs.tw Pop1K7 dataset (https://github.com/YatingMusic/compound-word-transformer)
View ProjectAP-adapter
April 25, 2024 – November 10, 2025
Audio Prompt Adapter: Unleashing music editing abilities for text-to-music with lightweight finetuning [ISMIR 2024]
View Projectcursorhold-timeout.nvim
January 23, 2023 – January 25, 2023
Set an independent timeout for CursorHold and CursorHoldI without changing updatetime
View Projectstructure-aware_infilling
December 14, 2021 – October 11, 2022
ISMIR 2022 paper: Melody Infilling with User-Provided Structural Context
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on academic research in music information retrieval and generation, primarily using Python. While this demonstrates deep expertise in a niche area, it suggests a potentially narrow focus. The current role as a Data Scientist at National Taiwan University & KKCompany Technologies aligns well with the target role. However, the lack of diverse industry projects or broader data science applications (e.g., business intelligence, A/B testing, large-scale data engineering) might indicate a specific cultural fit for research-heavy environments rather than generalist data science roles. The experience level is listed as 0, which contradicts the ongoing Data Scientist role, making it difficult to fully assess cultural fit based on career progression.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on research and development, suggesting a self-driven and analytical approach. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling. The operational fit for a Data Scientist role appears strong given the technical project alignment.