Weijie Sun Blog

To elegant code

0%

Weijie Sun

Education

Ph.D Computing Science GPA 3.8/ 4.0 Jan 2023 - Present

University of Alberta, Edmonton, AB

Thesis Computing Science GPA 3.9/ 4.0 Sep 2020 - Dec 2022

University of Alberta, Edmonton, AB

B.Sc Specialization in Computing Science GPA: 3.7/ 4.0 Aug 2012 -June 2016

University of Alberta, Edmonton, AB

Publications

2023

  1. Sun, Weijie, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz et al. “Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.” NPJ Digital Medicine, 6(1), 21.

  2. Sun, Weijie, Samuel Iwuchukwu, Abdul Ali Bangash, and Abram Hindle. “An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS).” In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 352-356. IEEE.

  3. Qi, Shi-ang, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, and Russell Greiner. “An Effective Meaningful Way to Evaluate Survival Models.” ICML conference.

  4. Yan, Yihuan, Xueren Li, Weijie Sun, Xiang Fang, Fajiang He, and Jiyuan Tu. “Semi-surrogate modelling of droplets evaporation process via XGBoost integrated CFD simulations.” Science of The Total Environment.

  5. Valsaraj, Akshay, Sunil Vasu Kalmady, Vaibhav Sharma, Matthew Frost, Weijie Sun, Nariman Sepehrvand, Marcus Ong et al. “Development and validation of echocardiography-based machine-learning models to predict mortality.” EBioMedicine 90 (2023).

  6. Mangukia, Tarana A., Joy Ramielle L. Santos, Weijie Sun, Dominik Cesarz, Carlos D. Ortíz Hidalgo, and Marcelo Marcet-Palacios. “Validation of HIV-1 MA Shell Structural Arrangements and Env Protein Interactions Predict a Role of the MA Shell in Viral Maturation.” Viruses 15, no. 4 (2023): 893.

2022

  1. Sun, Weijie, et al. “Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale.” Time Series for health (NeurIPS workshop).

2021

  1. Kalmady, Sunil, Weijie Sun, Justin Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, and Padma Kaul. “Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding.” In Survival Prediction-Algorithms, Challenges and Applications, pp. 70-82. PMLR.

  2. Santos, Joy Ramielle L., Weijie Sun, Tarana A. Mangukia, Eduardo Reyes-Serratos, and Marcelo Marcet-Palacios. “Challenging the Existing Model of the Hexameric HIV-1 Gag Lattice and MA Shell Superstructure: Implications for Viral Entry.” Viruses, 13(8), 1515.

  3. Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul. “Electrocardiogram for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets.” Med-Neurips Workshop.

2020

  1. Wong, Alexander William, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, and Abram Hindle. “Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble.” arXiv preprint.

2019

  1. Sun, Weijie, Eduardo Reyes-Serratos, David Barilla, Joy Ramielle L. Santos, Mattéa Bujold, Sean Graves, and Marcelo Marcet-Palacios. “Mathematical determination of the HIV-1 matrix shell structure and its impact on the biology of HIV-1.” PloS one, 14(11), e0224965.

Awards

2023 CHRS Highest Rated Electrophysiology Abstract by a Trainee Award - Canadian Heart Rhythm Society Sep 2023

Runner up Best App - LLM Edmonton Hackathon - HomefinderRunner up Best App - LLM Edmonton Hackathon - Homefinder July 2023

MSR 2023 Mining Challenge Runner Up paper Award

International student scholarship from University of Alberta

“Xiwang Bei” national Mathematic certificate

Dean’s Honor Roll 2013-2014

Official certification P exam of SOA

Experience

Current work as research assistant in Candian VIGOUR Centre in Health Science and Machine Learning

Also doing research in Deep Learning/Survival Analysis/ECG/Bioinformatics/Software Engineering

Worked as intermediate software developer

(Backend: Node js/PHP Laravel/Python Django; Frontend: Angular1.0/2.0, ReactJs)