dao feng

dao feng

Projects

2023

Interactive Visualizer of the Collatz Conjecture built on Observable with D3 & JS.

2023

Application of statistical methods and ML algorithms such as Fisher's Linear Discriminant Analysis and Support Vector Machines to classify genetic profiles for IBD patients.

2023

Analysis of heart failure data using Kaplan-Meier estimators and Stratified Cox Proportional Hazard models with considerations for lead time bias.

2022

Explores the simulation, visualization, and interpretation of synthetic time series data, with emphasis on utilizing Fast Fourier Transform algorithms, deriving power spectral density, applying filter designs, and performing cross-spectral analysis.

2022
Natural Language Processing & Data Mining Applications in Clustering Covid-19 Research

Supervised and unsupervised NLP methods in categorizing pandemic-related medical research/academic literature to cluster and classify important subgroups and determine topics of focus in a comprehensive overview.

2021

Flight path model using Lasso-configured spatial positioning algorithm and optimal pathways for aerial fire detection.

Awards

2023
Seneca Smart Cities Hackathon Finalist 2023 Finalist
2021
Honorable Designation from COMAP International Mathematical Contest in Modeling

Education

2019 — 2023
Hon. BSc. Applied Statistics at York University
Toronto
2018 — 2019
BSc. Statistics at University of Ottawa
Ottawa

Certifications

2021
PCert. in Data Science from T.H. Chan School of Public Health, Harvard University
2020
Certificate of Recognition for Statistical Research Contributions from Dept. of Psychology, UBC

Contact

Website
LinkedIn