My first accepted short paper with @domoritz, @kanitw, and @jeffrey_heer is accepted at #ieeevis: "Fast and Flexible Overlap Detection for Chart Labeling with Occupancy Bitmap".
You can find our paper at https://t.co/htBwDQN4z5
Here is my presentation: https://t.co/mmgJrzG1j8
Would you even consider being outside when the air pollution hits 300 AQI? Unfortunately for some, facing it daily is the only way to make a living.
Presenting now in Guanacaste 1 at #cscw2024
https://t.co/17ZQGy6rkN
🚨 I'm recruiting PhD students for 2023! 🚨
If you're excited about building tools to make ML-based analytics accessible to everyone or verifying ML inference, apply to the CS PhD program at UIUC and mention my name. Please retweet and share!
👇 are examples of my research
I recently came across data on who we spend our time with over the course of our lives.
The insights are simultaneously inspiring and depressing.
Here are 6 graphs everyone needs to see:
Postdoc @DixinTang discusses how to provide visualization recommendations in a seamless manner with @lux_api. Preparing data involves a lot of code, how can we automate this and remove burdens from end users
Co-director @sarahchasins talks about “Programming by Demonstration” for web automation. Without good tools, CS researchers (good programmers, not webdev experts) took a while to complete a web automation task!
Co-director @joe_hellerstein gives an overview of what he’s learned about data wrangling and predictive interaction. Data transformation is hard because every transformation is different for different use cases
Good morning from the first EPIC Advance! First up: co-director @adityagp discusses the lab vision of no & low-code interfaces for data work. How do we bring data tooling to everyone, not just programmers?
The new EPIC Data lab at Berkeley is looking for postdocs who want to work on the many messy data challenges in criminal justice; especially in collaboration with the @nacdl's Full Disclosure Project (+public defender offices) and w/ data journalists (@BigLocalNews/@KQED) (1/5)
A @UCBerkeley lab is building data tools that allow people without programming backgrounds to benefit from the latest computer science advances.
"These tools are the missing link between these teams and the insights that they need," @sarahchasins said.
https://t.co/W9zxDvqVAE
Impostor syndrome: “I don't know what I'm doing. It's only a matter of time until everyone finds out."
Growth mindset: "I don't know what I'm doing yet. It's only a matter of time until I figure it out."
The highest form of self-confidence is believing in your ability to learn.
Super excited that our paper "Synthesizing CRDTs from Sequential Data Types with Verified Lifting" has been conditionally accepted to OOPSLA 2022! 🎉🎉🎉 We explore how program synthesis can be used to generate provably correct CRDTs that mirror sequential data types. @splashcon