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CS Ph.D candidate University of Alberta
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mensa
April 9, 2024 – Present
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation. ML4H 2025.
View Projectphysionet24
February 29, 2024 – June 18, 2024
A deep learning algorithm to digitize and classify electrocardiograms (ECGs) captured from images or paper printouts.
View Projectechocardiography-mortality-analysis
July 26, 2022 – November 28, 2022
Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality.
View ProjectSurvivalEVAL
May 22, 2021 – Present
The most comprehensive Python package for evaluating survival analysis models.
View Projectphysionet-challenge-2020
February 25, 2020 – December 8, 2022
Source code for the PhysioNet/CinC 2020 challenge submission.
View ProjectWeijie2_Travel-expense-tracking
January 19, 2015 – February 2, 2015
design and implement a simple, attractive, and easy-to-use travel expense tracking application. For each travel claim (for which expenses are to be reimbursed), the application should record expense items.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in biomedical data science and machine learning, which aligns well with a Data Scientist role in a similar domain. However, the lack of diverse project types or team-based projects makes it difficult to assess broader cultural fit or adaptability to different problem spaces. The single Java project indicates some versatility but is an outlier.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a strong focus on independent research and development.