About Me

I am a Quantitative Researcher in New York City and graduated from Brown University and Johns Hopkins University. I am interested in both the theoretical and the applied sides of Machine Learning, especially in fields such as Quantitative Finance, Natural Languages, Healthcare, etc.

This Machine Learning blog documents my interesting encounters with ML algorithms and their applications. As a memo of my ML studies, it will most likely arouse feelings of déjà vu, jamais vu or presque vu in you too. ML papers are more often than not a hard read, and I have had my fair share of ‘Graecum est; non legitur’ moments throughout. Hopefully what I share here will be of some help in your navigation around the ML space.

Please feel free to check out my Github repos too.

Discipulus est prioris posterior dies.