I direct the People Aware Computing group which
develops mobile sensing systems for understanding life patterns of individuals, groups, and
societies. A key mission for us is to change the way mental health is diagnosed and treated by creating novel
wearable and mobile system that continuously track mental wellbeing. I am a co-founder of
HealthRhythms that aims to bring novel technological
solutions to facilitate mental wellbeing.
I received my Ph.D. degree from the Media Laboratory
at the Massachusetts Institute of Technology (MIT). As part of my
work, I created the
sociometer and conducted the first experiment that uses mobile sensors
to model social networks, which led to a new field of research referred
to as Reality
Mining. I hold a B.S. in electrical engineering
from the University
of Rochester, and M.S. from the MIT Media Laboratory.
Somewhat recent news
For latest news, projects, and papers please visit People Aware Computing Lab's webpage
BodyBeat in the media Wearable Self-Tracking Tool Listens for Yawns, Coughs, and Munches
BodyBeat in the media Listen to sounds inside the body to monitor health
Excited about our new NIH R01 grant Harnessing the Power of Smartphones to Prevent Psychosis
Opinionating What Apple’s M7 Motion-Sensing Chip Could Do
Economist article on Teaching old microphones new tricks
People Aware Computing's new group webpage
I am teaching Ubiquitous Computing (INFO 4120/6120) in Spring'13 - offered at Cornell for the first time!
BeWell released on Google Play.
New AAAI paper: Towards Population Scale Activity Recognition: A Scalable Framework for Handling Data Diversity.
Featured in NYTimes Magazine: The Little Voice in Your Head.
Fast Company's Co.Exist piece on An App That Reads Your Feelings Through Your Voice
Our work featured on Cornell Chronicle Monitoring mental health from your pocket
Presented our work on Voice Patterns: How can mobile phones improve people's lives?
Our work on NeuralPhone featured in NYTimes Magazine: The Cyborg in Us All.
Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN) paper nominated for best paper.
As of July 1, 2011 I will be joining Cornell as Associate Professor in the Information Science department. I will be part of both Information Science and Computer Science graduate fields and am looking forward to advising students in both departments. I will still be affiliated with the Dartmouth CS department as adjunct faculty.
Write-up about Jigsaw continous sensing engine Smartphone app monitors your everymove
Selected an one of the PopTech Science and Public Leadership Fellows
New NSF EAGER grant funded. Brain-Mobile Interfaces: Exploratory Research into the Development of Networked NeuroPhones with Prof. Campbell and Prof. Raizada.
New SenSys 2010 paper titled The Jigsaw Continuous Sensing Engine for Mobile phone Applications -- joint work with Mobile Sensor Group
New AAAI 2010 papers --
New MobiSys 2010 paper titled Darwin Phones: The Evolution of Sensing and Inference on Mobile Phones -- joint work with Mobile Sensor Group
Selected as one of the TEDIndia 2009 Fellows
SoundSense slashdotted. Cell Phones That Learn the Sounds of Your Life
Recipient of National Science Foundation Faculty Early Career Development Award (NSF CAREER)