Half Scientist, Half Artist.
And one third Unicorn!
And one third Unicorn!
Self-directed bilingual researcher with background in data science, software engineering, and computer security.
Possess practical experience in applied research, programming, design of experiments, and graphic design. Enjoy working on complex problems requiring creativity and in a multi-disciplinary environment.
Motivated by turning research into valuable insights and products.
Oh, did I mentioned that I love to paint?
11 years of post-undergraduate experience in applied research projects with companies and academic
Applied analytics and statistical methods on large-scale datasets (10M+ data points)
Developed and built machine learning solutions for business problems
Authored and co-authored over 10 research papers in computer security
Submitted 4 provisional patent applications related to machine learning applied to computer security
Developed teaching materials in computer security, and instructed over 80 students in 5 years
Contributed to the academic community in organizing conferences and reviewing papers
9 years of Fine Arts classes
Ability to design and execute on research agenda
Ability to articulate and understand a business problem and formulate the mathematical problem
Programming experience with Python, Numpy, Scikit-learn, SciPy, Matplotlib, Pandas
Knowledge of various analytics & machine learning methods such as clustering, forecasting, association rules, neural networks, regression analysis and variance analysis
Experience with documenting, synthesizing, and communicating research to a broad audience
of varying analytical skills and knowledge levels
Ph.D., Computer Engineering
Finalist for best thesis of the Department of Computer and Software Engineering
École Polytechnique de Montréal
2015 to 2018
M.Sc.A, Computer Engineering
Best thesis of the Department of Computer and Software Engineering
École Polytechnique de Montréal
2011 to 2013
B.ing., Software Engineering
École Polytechnique de Montréal
2006 to 2010