
PhD Student
University of Chicago
krisha at uchicago dot edu
University of Chicago
krisha at uchicago dot edu
Bio
Welcome!
I am Krisha Mehta, a first year PhD student at the Computer Science department at the University of Chicago. I am advised by Prof. Alex Kale at the Data Cognition Lab. I am interested in studying how visualizations can help people reason about uncertainty and drive their decision-making.
Apart from that, I love to buy and read books (yes, those are two separate hobbies) and can cook a mean daal makhani. Occasionally, I summarize research papers on a blog called Computers, Papers and Everything.
My CV is available here.
News
- [Sept 2023] Awarded the Liew Family Graduate Fellowship.
- [Sept 2023] Joined the PhD in CS program at the University of Chicago!
- [Oct 2022] Got promoted to Programmer writer II.
- [June 2022] Worked on Ground Truth Plus and Ground Truth Synthetic.
- [June 2021] Started working full-time at Amazon SageMaker as a programmer writer.
- [May 2021] Graduated from Arizona State University with a Masters in Computer Science
- [Aug 2020] Interned at Weights & Biases as a machine learning engineer.
- [May 2020] Interned as a technical writer intern at Amazon this summer.
- [Feb 2020] Our paper IndoorNet: Generating Indoor Layouts from a Single Panorama Image got published in Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore, 2020
- [Aug 2019] Joined the MS in CS program at Arizona State University.
- [June 2019] Selected to join the technical student program at The European Organization for Nuclear Research(CERN)(declined)
- [May 2019] Our paper HomeNet: Layout Generation of Indoor Scenes from Panoramic Images Using Pyramid Pooling got accepted at the 3D Scene Generation Workshop, CVPR, 2019!
- [Nov 2018] Selected for the Summer Research Program by the University of Auckland, New Zealand.
Publications
HomeNet: Layout Generation of Indoor Scenes from Panoramic Images Using Pyramid Pooling
3D Scene Generation Workshop, CVPR, 2019
Paper