Microsoft Gray Systems Lab is hiring for research scientists and research engineers! We tackle interesting challenges in technologies related to Big Data, cloud, systems-for-ML and ML-for-systems. careers.microsoft.com/us/en/job/1295… #hiring #bigdata #ml #research #cloud #engineers

Congratulations to the authors of the demonstration paper "Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem" for winning the "Best Demonstration Award"! vldb.org/2022/?conferen… #VLDB2022 #BestDemo #Awards

Reminiscences on Influential Papers column features Yuanyuan Tian & Fatma Özcan at the latest issue of SIGMOD Record. They have been extremely influential mentors in my career, so it is wonderful to read their reminiscences. sigmodrecord.org/2022/10/01/rem…

We have multiple internship positions within our research group! If you are interested in working with us this summer, consider applying for any of the following job postings: careers.microsoft.com/us/en/search-r…

The deadline for VLDB 2023 industry paper is approaching soon! We welcome papers on all aspects of innovative commercial or industrial-strength data management systems and solutions, as well as novel real-world applications of data systems and experiences. vldb.org/2023/?call-for…

SoCC 2023 Call For Paper is out. We welcome research, industry, vision, and work-in-progress paper submissions. Paper deadline is Jun 9, 2023. acmsocc.org/2023/papers.ht…

GSL will host NorCal DB Day at the Microsoft Silicon Valley Campus in Mountain View, on Thursday May 11, 2023. Here is the tentative schedule: microsoft.com/en-us/research…. We would like to invite you to this event. This is the registration form: forms.office.com/r/M3mvW1cB33.

Hi everyone, our awesome PC Chairs, Yuanyuan Tian and Peter Pietzuch have finalized the program committee and have now opened the submission website on HotCRP (socc23.hotcrp.com). The submission deadline in June 9th at 5PM EDT. We look forward to your submissions!!

In #ML, we've tackled a major roadblock - training Random Forests on normalized #GPU databases, previously hindered by limited GPU memory. Our solution outperforms LightGBM, handling 50% more data & boosting performance by 2x. Catch more at #DAMON2023 #SIGMOD2023, June 19!

Excited to share our insights and experience on building autonomous data services on Azure in the Industry Invited Papers Session! Join us on Wednesday (June 21) at 14:00-15:30 PST for 'Towards Building Autonomous Data Services on Azure.' #mlforsystem #azure #autonomousdatabase