Jillian Tang

About me

I am a BS and MS candidate in Computer Science at Stanford.

I'm a member of the Stanford NLP group, working with Prof. Chris Manning. I'm currently working on generative modeling for unsupervised dialogue act induction with Ashwin Paranjape. I also do research in statistics and am particularly interested in biomedical applications. Previously, I developed novel methods for N-of-1 patient trials with Prof. Reid Landes at the University of Arkansas for Medical Sciences.

Outside of research, I'm a section leader for Stanford's CS106 classes and run Stanford ACM's ACMLab research group. I also co-lead Project Cycloon in the Stanford Student Space Initiative.

In my spare time, you can find me playing the piano, hiking, and gravitating towards the closest dog to pet.

I can be reached at jiltang [at] cs.stanford.edu.

Research

A Logic Puzzles Task for Probing Large Language Models Garg R, Zhang W, Sikand R, Kim J, Chi EA, Tang J The Workshop on Enormous Language Models @ ICLR (2021)
Stanford MLab at SemEval Shared Task 1: Tree-Based Methods for Lexical Complexity Prediction Rozi E*, Iyer NS*, Choe E, Chi G, Lee KJ, Liu K, Liu P, Lack Z, Tang J*, Chi EA* SemEval 2021 @ ACL-IJCNLP (2021)
proteiNorm — A User-Friendly Tool for Normalization and Analysis of TMT and Label-Free Protein Quantification Graw S, Tang J, Zafar MK, Byrd AK, Bolden C, Peterson EC, Byrum SD ACS Omega (2020)
Some t-tests for N-of-1 trials with serial correlation Tang J, Landes RD PLOS ONE (2020)
SGVAE: Sequential Graph Variational Autoencoder Jing B*, Chi EA*, Tang J* arXiv preprint (2019)
Understanding gender differences among medical students when choosing radiology as a medical specialty Ram R, Jumper H, Lensing SY, Tang J-L, Deloney LA, Kenney PJ Academic Radiology (2018)
Aggressive care at the end of life: A study of practice based factors in patients with stage IV cancer Atiq MO, Ravilla R, Kumar A, Haider S, Tang J-L, Arnaoutakis K, Motwani P, Siegel ER, Sasapu A, Mahmoud FA, Harrington SE Journal of Clinical Oncology (2017)

*equal contribution

Projects

Project Cycloon

I co-lead the Project Cycloon team in the Stanford Student Space Initiative, where we're developing novel balloon-dropsonde sensor systems for low-cost, high-accuracy monitoring of hurricanes and tropical cyclones. Read about our award-winning design here!

A screenshot of the course planning tool

Ultimate Course Planner

This gigantic Google Sheet has customizable color-coded departments, smart dropdown menus, and all 14,813 Stanford courses to choose from. Built with a friend, we currently have several hundred users!

Section Leading

I'm a senior section leader for Stanford's CS 106 program, where I teach weekly sections covering topics from recursion to data structures. I also develop features for the CS 106B website and for Paperless, our student management and grading tool.

In Summer 2020, I was really excited to be able to work with the first virtual CS Bridge program, teaching programming to high school students in Turkey and the Czech Republic—I'm currently developing a smaller version of the program to reach out to local communities!

ACMLab

I'm a co-founder of Stanford ACM's ACMLab, a research club to develop machine learning and AI skills for Stanford undergrads. I co-developed and help teach a weekly workshop series covering fundamental concepts of deep learning, which are then applied towards intensive multi-quarter projects. Please reach out to me if you're interested in applying to join our research teams!