About Me

I'm a student at McMaster University who is passionate about Computational Statistics and applications to public health. My interest in these fields is guided by my diverse background and research experience ranging from Computational Neuroscience and Computer Vision to Bioethics. When I'm not using my free time to study Statistics, I like to hike, canoe, mountain bike, and play chess.

Education

I'm currently taking a post-bachelor year of advanced statistics and math courses after completing my undergraduate degree in Arts and Science with Combined Honours in Psychology, Neuroscience and Behaviour, and a minor in Math. McMaster's "Artsci" program is a competetive interdisciplinary program with mandatory cohort courses ranging from Physics and proof-based Calculus to Philosophy and Literature.

Relevant Coursework Includes:

Mathematical Statistics	Programming
Probability	Machine Learning
Numerical Methods	Bayesian Statistics
Linear Algebra	Vector Calculus

Programming Languages

Tools and Frameworks

Projects Here's a selection of some of my favorite projects I've worked on in my free time

2048 Artificial Intelligence

I created a Python clone of the 2014 viral game "2048," and designed an AI to play it. My algorithm achieves a 97% win-rate by leveraging Markov Decision Processes and Monte Carlo simulations to select moves.

What Bird is That?

Website which identifies the species of bird in user-uploaded uploaded photos, offering interesting facts about the bird. Built using TensorFlow transfer learning and fine-tuning.

Detecting Heart Disease with Machine Learning

I conducted a machine learning project using a dataset which reports patient symptoms and presence of heart disease. My aim with this project is to illustrate how doctors can use AI and medical data to help them assess patients.

Noah Ripstein