Bio

My background is in theoretical physics, where I used mathematical modelling and numerical methods to characterize the sources of noise that limit the stability of quantum bits. Quantum computers promise to be a paradigm-shift for artificial intelligence, and I have a strong interest in using cutting-edge techniques, such as machine learning, to help pave the way for future technologies. - 10+ years experience in programming in Python, Mathematica, Matlab - 4+ years experience in building machine learning models for real world applications - Solid skills in neural networks, deep learning, image recognition, and natural language processing - Experienced with manipulating and scraping data as well as using powerful data visualization tools