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.
Have something to say? Send me (anonymous) feedback!
Publications: 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 [paper]
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
