Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
About Me
This is a page not in th emain menu
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Open-sourced cleaned and parsed financial statements filed between 2013-2016
Training a student VGG-16 neural network with a teacher AlexNet
High-level summaries of my work done at an online travel agency
Using probabilistic graph models for efficient simulation of the protein folding process
This was a paper I wrote as a freshman undergraduate which ended up becoming the leading article in Stern’s annual “Call for Corporate Action” publication (mirror here). My research for the paper is where I first got interested in the quantitative sciences - before that, I was fully intent on pursuing a path of “business” and “entrepreneurship” (whatever that meant to my addled freshman mind). It’s a quaint and nostalgic experience to read my past opinions, so I like keeping this around as a reminder of where I came from.
Slide deck of the first ranking model deployed at Rocketmiles
In this blog post, I talk about the ranking model in layman’s terms. How does it learn? How can we interpret the model’s definition of a “good” model?
Benchmark of deep learning methods for recommender systems on the Rocket hotel ranking dataset
In this blog post, I talk about LambdaMART, a listwise ranking model based on gradient boosting which has been used in AirBnB and Microsoft. What is its objective function optimizing for? How can we update it to handle display bias? And in what situation would you use it over a collaborative filtering approach?