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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.
Pages
About Me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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.
Blog Post number 3
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.
Blog Post number 2
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.
Blog Post number 1
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.
projects
Supply Chain Planning Outlier Detector
Google, Summer 2016
Experiment Metric Recommendation System
Airbnb, Summer 2017
Twitter Cluters of Politicians, Media, and Celebrities
Independent Work Project, Advised by Professor Andrea LaPaugh 
Decoding fMRI Using Multiple Timesteps
Independent Work Project, Advised by Kiran Vodrahalli and Professors Elad Hazan and Kenneth Norman 
Heterogeneous Networks of Drift Diffusion Processes
Independent Work Project, Advised by Dr. Zahra Aminzare 
Robustness of Face Recognition Algorithms to Image Manipulations
Computer Vision Course Project, Advised by Kyle Genova 
Generalized Schema Learning by Neural Networks
Senior Thesis, Advised by Professor Kenneth Norman 
projects_industry
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate Tutor
Math & Computer Science Courses, Princeton University, 2015
I worked as a peer tutor for three years, tutoring Linear Algebra (MAT202), Introductory Computer Science (COS126), and Algorithms & Data Structures (COS226) through the McGraw Center and the Princeton undergraduate tutoring program.
COS324: Introduction to Machine Learning
Undergraduate Course, Princeton University, Department of Computer Science, 2017
I worked as a grader for COS324: Introduction to Machine Learning.
COS485: Neural Networks – Theory and Applications
Undergraduate Course, Princeton University, Department of Computer Science, 2018
I worked as a grader for COS485: Neural Networks – Theory and Applications.
COSIW02: Using Publicly Available Data to Learn, Explain, Evaluate and Improve
Independent Work Seminar, Princeton University, Department of Computer Science, 2018
I worked as a lab TA for the independent work seminar COSIW02: Using Publicly Available Data to Learn, Explain, Evaluate and Improve.
AI4ALL
Instructor, Princeton University, 2018
I served as an instructor at Princeton AI4ALL, a summer program designed to teach AI to rising 11th grade students from underrepresented groups. I gave lectures about the fundamentals of AI and Machine Learning and led a research group about using NLP for social good.
CS188: Introduction to Artificial Intelligence
Undergraduate Course, UC Berkeley, Department of Computer Science, 2023
I worked as a TA for CS188: Introduction to Artificial Intelligence.