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Machine Leaning Researcher @ RBC Borealis, PhD in Computer Science @ SFU, interested in applied research.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Borealis AI
Data Scientist
June 19, 2026 – Present
perturbed-forgetting
May 24, 2024 – June 12, 2024
Training SAM, GSAM, ASAM with standard and OBF perturbations
View ProjectVelodrome
May 25, 2021 – November 17, 2021
Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics
View ProjectDGSML
June 6, 2020 – October 3, 2020
DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains
View ProjectAITL
December 21, 2019 – October 16, 2021
A repository for Adversarial Inductive Transfer Learning with input and output space adaptation
View ProjectMOLI
January 4, 2019 – September 22, 2020
MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
View ProjectGradNorm
September 23, 2018 – November 2, 2021
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
View ProjectBasic-Multi-task-Learning
September 13, 2018 – September 23, 2018
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
View ProjectDeep-Genomic-Signature
January 13, 2018 – February 20, 2019
This repository is created for some codes, files, and supplementary materials for Deep Genomic Signature for early metastasis prediction in prostate cancer.
View Projectmolecular-AE-design
April 22, 2017 – May 9, 2017
For the project of automatic chemical design using Autoencoders.
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on advanced machine learning techniques in bioinformatics and drug discovery. This aligns well with a research-focused Data Scientist role. However, the lack of diverse project types (e.g., product development, business intelligence, MLOps) suggests a potentially narrow focus, which might impact adaptability in roles requiring broader data science applications. All projects are personal, indicating strong initiative but lacking evidence of team collaboration in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.