MMDS 2016 Workshop Registration

Registration deadline:
Sunday, June 12, 2016.

Aarti Singh Carnegie Mellon University
Abbas Ourmazd Univ. of Wisconsin Milwaukee
Alex Dimakis UT Austin
Alex Gittens International Computer Science Institute
Alex Smola CMU and 1-Page
Amit Singer Princeton University
Bryan Graham UC Berkeley (Economics)
Cameron Musco Massachusetts Institute of Technology
Charalampos Tsourakakis Harvard University
Charles Martin Calculation Consulting
Christopher Re Stanford
Christopher White Microsoft
Constantine Caramanis UT Austin
Cosma Shalizi Carnegie Mellon University
Dacheng Xiu Chicago Booth
Daniela Witten University of Washington
David Gleich Purdue University
Fred Roosta ICSI and UC Berkeley
Jake VanderPlas University of Washington
Jimeng Sun Georgia tech
Jonathan Berry Sandia National Laboratories
Julian Shun UC Berkeley
Kristofer Bouchard LBL
Lise Getoor UC Santa Cruz
Marina Meila University of Washington
Mark Flood Office of Financial Research
Matt Taddy Chicago Booth and Microsoft Research
Moritz Hardt Google Research
Peter Wang Continuum Analytics
Prabhat Lawrence Berkeley National Laboratory
Rachel Ward University of Texas at Austin
Sebastiano Vigna Università degli Studi di Milano, Dipartimento di Informatica
Serena Ng Columbia University
Suresh Venkatasubramanian University of Utah
Surya Ganguli Stanford
Ted Willke Intel Labs
Vahab Mirrokni Google
Event Location
Talks will be held on the UC Berkeley campus in Stanley Hall, Room 105. For convenience, here are links to the UC Berkeley and Google maps of Stanley Hall and the campus.

The following is a list of recommended hotel and bed & breakfast options. Most of the locations are within 30 minute walking distance to Stanley Hall.

Directions & Parking
BART from San Francisco International Airport: Take the complimentary AirTrain (red line) from your arrival terminal to the SFO BART station. At the BART station, purchase a ticket to Downtown Berkeley. Board any Pittsburg/Bay Point or Concord train (yellow line). When the train arrives at the 19th St. Oakland station, transfer to the Richmond train, which should be waiting on the opposite side of the platform (timed transfer). Take the Richmond train to Downtown Berkeley. Travel time: 55 minutes.

BART from Oakland International Airport: Take the AirBART shuttle ($3) to the Oakland Coliseum BART station. At the BART station, purchase a ticket to Downtown Berkeley. Board a Richmond train (orange line), which will take you directly to the Downtown Berkeley station. Travel time: 45 minutes.

General information on public trasportation and parking around UC Berkeley may be found here and here. Campus parking is available at the Underhill Structure, located on Channing Way between The closest off-campus parking is the City of Berkeley Telegraph Channing Garage, located at 2450 Durant Ave., between Dana St. and Telegraph Ave. More parking infomation may be found at this link.


Organizing committee

Seats220 Michael Mahoney (Chair), ICSI and Department of Statistics, UC Berkeley.
Alexander Shkolnik, Department of Economics, UC Berkeley.
Petros Drineas, Department of Computer Science, Rensselaer Polytechnic Institute.



Early registration for the MMDS 2016 Workshop is extended till May 8th.
Call for posters: In addition to the talks there will be a poster session. You may apply to present a poster on the registration page.
Our new YouTube channel is now online with video recondings of talks from the 2012 & 2014 workshops.
Early registration for the MMDS 2016 Workshop is now open. Deadline: May 1st.
BIDS is sponsoring MMDS 2016.
Founded in 2013, the Berkeley Institute for Data Science (BIDS) is a central hub of research and education at UC Berkeley designed to facilitate and nurture data-intensive science.
The MMDS 2016 workshop will take place on the UC Berkeley Campus Tuesday, June 21 through Friday, June 24.
The 5th MMDS Workshop on Algorithms for Modern Massive Data Sets was held June 17–20, 2014, in Berkeley, CA. Video recordings of all the talks may be found on our YouTube channel. Download the full MMDS 2014 program here.