The Data Lab @ Northeastern University is a team of faculty and students who explore a range of research problems in scalable data management and analysis. Our work ranges from fundamental questions on the complexity of data management problems to practical applications with domain scientists and covers areas such as large-scale and parallel data analysis algorithms, graph data management, and uncertain data. We participate in a number of interdisciplinary research projects and collaborate with other faculty at Northeastern and database groups across the world. And we are growing!
Open Positions
Our College is growing with more than four open positions in all areas including data management and data science, at all levels (assistant, associate, or full). For Faculty positions see College ads.
We are actively looking for new PhD students with strong background in data management, algorithms, theory, or systems. For details, please see our page on research opportunities.
Collaborations with Sciences and Industry
For more than 15 years, Prof. Mirek Riedewald has been collaborating with scientists from various domains. This includes summarization techniques for digital libraries, data mining and exploratory analysis in collaboration with the Cornell Lab of Ornithology, speeding up of high-dimensional simulations (for combustions), data and provenance management for astronomy and high-energy physics, and reconstruction, tracing, and connection analysis of massive collections of high-resolution brain images. We also developed new technology for pattern analysis with industrial partners.
If your research team or company has reached a point where data management and analysis has become a bottleneck, please contact us. We are excited to learn about real-world applications that will lead to opportunities for novel research, joint proposals for funding, or consulting. Example areas include Scientific applications, graph analysis, medical data, cloud computing.
Recent or Upcoming Courses
Spring 2019: cs7240/7280: Principles of scalable data management
Spring 2018/Fall 2017: CS 6240: Parallel Data Processing in MapReduce
Spring 2018/Fall 2017: CS 3200: Database design
Fall 2017: CS 7290: Special topics: Foundations in scalable data management
News
[9/11/2018] Congratulations to Niccolo for his paper in TODS
[7/17/2018] Congratulations to Yang for her paper in TCS (Theoretical Computer Science)
[6/20/2018] We are welcoming Renee Miller to Northeastern University! Congratulations to your VDLB 2018 keynote and your VLDB Women in Database Research Award for “ground-breaking contributions on data integration and data curation”
[6/15/2018] Congratulations to Maarten for his short position paper at StarAI 2018
[5/15/2018] Congratulations to Likang for his UAI 2018 paper
[4/24/2018] Congratulations to Xiaofeng and Rundong for their paper at ExploreDB 2018
[2/23/2018] Congratulations to Siyuan for his demo paper at SIGMOD 2018
[12/22/2017] Congratulations to Xiaofeng for her WWW 2018 paper
[11/27/2017] Congratulations to Rundong and Xinyan for their SIGMOD 2018 paper
[10/11/2017] Our new Data lab website is online