In 2022, I published my first ever, first-author publication as a PhD student — How Does Predictive Information Affect Human Ethical Preferences?, which was published at AIES 2022. Since then, I've been meaning to write a blog post version of...
Read moreOne of my current research projects deals with applying elements of Curriculum Learning (CL) for designing real-world human learning curricula. In the last few weeks, I've read a number of CL papers, and in this blog post, I'll summarize two...
Read moreA few months ago, I started using RevealJS to make presentations instead of Powerpoint. RevealJS is "an open-source HTML presentation framework", with the idea that you can write your presentations programmatically, using HTML and JS, rather than manually putting everything...
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Yesterday, I finished my first ever NeurIPS conference. It was a great experience, as I got to present some of my recent work and get feedback, meet friends from around the country, learn about awesome research in many fields, and Read more…
In this post, I’ll give a step-by-step tutorial on how to get started running Deep Learning code using Pytorch, Tensorflow, and JupyterLab on the GPUs available in the WashU RIS cluster. Getting Access First, you will need to get access Read more…
You can jump straight to the interactive visualization here. Details on how I implemented this project is available in the Github repo. Growing up, whenever my family used to take airplanes, I was always drawn to the airline route Read more…
When a new student is starting their journey into the field of computer science, it can be hard to figure out which topics to learn first. In this post, I will give my opinionated review on what every computer science Read more…
Over the last few months, I’ve been working on a research project to develop personalized training tools for chess players. For this post, I’m just going to describe Maia, the framework developed last year which all of our code and Read more…
Summary For this project, I analyzed methods to model the aleatoric and epistemic uncertainty of a neural network model for predicting the amount of time that a human player will use for a given move in a chess position. Dataset Read more…
Summary For this project, I am comparing the abilities of Bayesian and non-Bayesian neural networks as a predictor for how much time a chess player will use to make their move in a certain chess position, taking into account the Read more…