Sindhu Kutty
email: firstname (AT) cs (DOT) swarthmore (DOT) edu
office: SCI 253
phone: (610) 690 5313

I am a Visiting Assistant Professor in the Computer Science Department at Swarthmore College. I received my PhD from the University of Michigan in Ann Arbor where I was very fortunate to be advised by the inimitable Jacob Abernethy. My thesis explores connections between prediction markets and machine learning. More broadly, my research interests lie in designing and analyzing theoretical models for social computing systems. My aim is to develop analytical models for these systems that will aid in a better understanding of extant systems while helping build new systems from a firmer footing.

I am passionate about teaching and am very excited to be teaching both a special topics course and an intro course at Swarthmore this Fall.

I used live in beautiful Ann Arbor. This was the view from my home in the Fall. There are many hiking trails nearby. This is an excellent resource. Our favorite hiking spot has to be Mackinac Island but I'm looking forward to finding new favorites near Swarthmore! I enjoy all kinds of music and am trained in both the Hindustani and Carnatic traditions of Indian classical music. I love making things like this and this. This is my masterpiece.


Spring 2016:
CS 46/Math 46: Theory of Computation

Fall 2015:
CS 97: Senior Conference
CS 21: Lab [see course webpages: Richard Wicenstowski, Andrew Danner, Jeffrey Knerr, Zachary Palmer]

Have something to say? Send me (anonymous) feedback!

Information aggregation in exponential family markets [arXiv]
Jacob Abernethy, Sindhu Kutty, Sebastien Lahaie, Rahul Sami
In the Proceedings of the 15th ACM conference on Economics and computation (EC 2014)

On Risk Measures, Market Making, and Exponential Families [paper]
Jacob Abernethy, Rafael Frongillo and Sindhu Kutty
In ACM SIGecom Exchanges, Volume 13, Number 2, Dec 2014

Graphical Models for Prediction Markets [poster]
joint work with Jacob D. Abernethy
Neural Information Processing Systems (NIPS) 2014
Workshop on Transactional Machine Learning and E-Commerce

Bounded Regret Sequential Learning using Prediction Markets
joint work with Rahul Sami
Neural Information Processing Systems (NIPS) 2011
Workshop on Relations between machine learning problems – an approach to unify the field

A Prediction Market Approach to Learning with Sequential Advice
[paper] [poster]
joint work with Rahul Sami
Neural Information Processing Systems (NIPS) 2010
Workshop on Computational Social Science and the Wisdom of Crowds

Other Presentations:
Exponential Families and Prediction Markets
joint work with Jacob D. Abernethy and Rahul Sami
AI semi-finals for CSE Honors Competition (2014)

Information Aggregation in Exponential Family Markets
joint work with Jacob D. Abernethy, Sebastien Lahaie, and Rahul Sami
AI Lab Mini-Symposium (2014)

A Prediction Market Approach to Learning with Sequential Advice
joint work with Rahul Sami
Introduction to Research Symposium (2011), School of Information, University of Michigan

Learning from Prediction Sequences Under Partial Monitoring
joint work with Rahul Sami
Department Open House (2010), Computer Science and Engineering, University of Michigan

Formalizing Provable Security
joint work with Kevin J. Compton
Engineering Graduate Symposium (2008), College of Engineering, University of Michigan

Knowledge Representation using Computability Logic
joint work with Giorgi Japaridze and Mary-Angela Papalaskari
Sigma Xi Student Research Poster Symposium (2004), Villanova University