Ameya Daigavane

I'm a Pre-Doctoral Researcher at Google Research India, working with Prateek Jain and Gaurav Aggarwal towards privacy-preserving graph neural networks.

I was a Caltech SURF Award recipient in 2019 and won the ACM SIGBED Scholars Award in 2020.

Previously, I was an intern with the MLIA group at NASA Jet Propulsion Laboratory, where I worked with Kiri Wagstaff and Gary Doran on time-series algorithms to improve the responsiveness of the Plasma Instrument for Magnetic Sounding on the upcoming Europa Clipper mission.

I graduated with a B.Tech in Computer Science and Engineering (with a minor in Mathematics!) from the Indian Institute of Technology, Guwahati in 2020.

I enjoy creating interactive visualizations of famous algorithms! Here's a few: the Incremental Delaunay Triangulation and Prim's Minimum Spanning Tree Algorithm.

I maintain Simple Complexities, a blog on interesting math that I've come across. Some of my favourite posts on there are Expectation Maximization and Functional Gradient Descent!

I've also spent time as a volunteer at Youth4Jobs Shine where I mentored differently-abled youth on career planning and employment tips, and at English On Call where I taught English to non-native speakers.

Feel free to look at my CV!

Understanding Convolutions on Graphs
Ameya Daigavane, Balaraman Ravindran, Gaurav Aggarwal.
Distill
article | code | reviews

Interactive Media for Understanding ML Methods: A Case-Study on Graph Neural Networks
Ameya Daigavane, Balaraman Ravindran, Gaurav Aggarwal.
Rethinking ML Papers, ICLR'21
pdf | video | slides | openreview

Detection of Environment Transitions in Time Series Data for Responsive Science
Ameya Daigavane, Kiri Wagstaff, Gary Doran, Corey Cochrane, Caitriona Jackman and Abigail Rymer. MiLeTS, KDD'20 | 6th Workshop on Mining and Learning from Time Series
pdf | video | slides

Time-Series Analysis Methods for Onboard Detection of Magnetic Field Boundaries by Europa Clipper
Ameya Daigavane, Kiri Wagstaff, Gary Doran, Corey Cochrane, Caitriona Jackman and Abigail Rymer. Second AI and Data Science Workshop for Earth and Space Sciences
poster

2-uniform words: cycle graphs, and an algorithm to verify specific word-representations of graphs
Ameya Daigavane, Benny George and Mrityunjay Singh. Workshop on Words and Complexity, Villeurbanne, France
pdf | abstract | slides

An Introduction to (Modern) TensorFlow
Simran Khanuja, Ameya Daigavane.
CVIT Summer School, IIIT Hyderabad
slides

An Introduction to Probably Approximately Correct Learning
IITG.ai Lecture Series
slides

Magnetic Field Boundaries in Cassini Plasma Spectrometer Data
Caitriona Jackman, Michelle Thomson, Michele Dougherty and Ameya Daigavane.
An open-access dataset of CAPS ELS instrument observations with labelled crossing events.
zenodo | cite