lisa singh

hello!

I am an Associate Professor and the Director of Graduate Studies in the Department of Computer Science at Georgetown University. I am also an affiliate of the Mass Data Institute (MDI). My specialization is what I like to call - data-centric computing. It means that I work on lots of aspects of data driven computer science - data mining, data privacy, data science, and data visualization to name a few. I like working with noisy, messy, partial data to determine what its limitations are, what I can say about it, and what I can learn from it in ethical, privacy-preserving ways.


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quick links

research projects:

- Privacy and WebFootprinting

- Forced Migration (collaboration w/ ISIM)

- Animal Networks (collaboration w/ Shark Bay Dolphin Project)

- Election Dynamics (collaboration w/ Gallup & University of Michigan)

outreach:

- GU Women Coders (guWeCode)

- ACM Capital Region Celebration of Women in Computing (2017 - at GU)

- CS4HS Workshop for High School teachers (2013)

- Women in Computing Luncheon (2008)

meetings & workshops:

- NSF Big Data Research and Hubs and Spokes PI Meeting (2017)

- NSF Big Data PI Workshop (BDPI-2016)

- NITRD Big Data Strategic Initiative Workshop (BDSI-2015)

- NSF Information Integration & Informatics (III-2010)

select papers & reports:

Overlapping target event and storyline detection of online newspaper articles. (2016) IEEE International Conference on Data Science and Advanced Analytics. Received Best Paper Honorable Mention Award Download


NSF Big Data PI Meeting Final Report - 2016 Download


Public Information Exposure detection: Helping users understand their web footprints.(2015) IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Received Best Paper Runner-up Award Download


Spearheading Innovation in the Face of Massive Data. (2015) NITRD Big Data Strategic Initiative Meeting Final Report - 2015 Download


Stability vs. Diversity: Understanding the dynamics of actors in time-varying affiliation networks.(2012) ASE/IEEE International Conference on Social Informatics. Received Best Paper Award.Download


Social networks reveal cultural behaviour in tool-using using dolphins. (2012) Nature Communications. Download


A list of my publications

latest news

 

1/2017
gu-WeCode Coding Party - over 60 people coding!! Hoya Article

 

1/2017
Reprint of Clinton topic visual analytic The Hill Article

 

11/2016
Hoya Hacks - Take 2

 

10/2016
Best paper runner up at DSAA 2016

 

9/2016
"Email" Dominates What Americans Have Heard About Clinton Gallup Article

 

9/2016
Invited roundtable panelist at APSA annual meeting - New data on militant groups

 

8/2016
Invited panelist at ASONAM - Social network analysis for the social good

 

5/2016
Lectured at the National Security Student Seminar about privacy in the era of social media

 

5/2016
Kevin Tian defends undegrad interdisciplinary thesis

 

5/2016
Jordan King defends undegrad CS thesis

 

4/2016
Hosted NSF Big Data PI meeting

 

3/2016
Invited talk at FISSEA 2016

 

1/2016
GU's first Hackathon Hoya Hacks

 

11/2015
Invited talk at Data Science Meetup

 

8/2015
Best paper runner up at ASONAM 2015

 

5/2015
Dennis Quinn defends undergrad interdisciplinary thesis

 

5/2015
Janet Zhu defends undergrad CS thesis

 

5/2015
Andrew Hian-Cheong defends undergrad CS thesis

 

January 2015
Hosted Big Data Workshop (BDSI-2015)

 

Fall 2014
Awarded Mass Data Institute Seed Grant with Shweta Bansal to improve our understanding of the spatial dynamics of flu to better inform public policy

 

Fall 2014
Awarded Mass Data Institute Seed Grant with Susan Martin for using social media to better understand population displacement

 

8/2014
Republic 3.0 article about GU Women Coders

 

5/2014
Awarded ITEL grant with Shweta Bansal to teach network science to non-majors

 

5/2014
Welles Robinson defends undergrad thesis

 

Spring 2014
CS&E Club teaches Scratch at Lab School

 

2/2014
GU Women Coders is born!

 

1/2014
Invited talk at IPAM Workshop on the Mathematics of Social Learning

 

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332 St. Mary's Building

202-687-9253