Sotabase

Career

· Principal Scientist Manager, Microsoft2024–
· Principal Research Scientist, Microsoft2017–2025
· Research Associate, Qatar Computing Research Institute2014–2014
· Postdoc, UCLA2014–2017
· Visiting PHD Student, UCLA2013–2013
· Doctor of Philosophy (Ph.D.), ICT, Università degli Studi di Modena e Reggio Emilia2011–2013
· Research Assistant, University of Padova2011–2011
· Research Assistant, University of Modena and Reggio Emilia2010–2010
· Resarch Associate, Florida Institute for Human and Machine Cognition2008–2009
· Intern, System Electronics S.p.A.2005–2005

Publications (94)

Big Data Analytics with Datalog Queries on Spark
SIGMOD Conference · 2016
148
cited
Titian: Data Provenance Support in Spark
Proceedings of the VLDB Endowment · 2015
139
cited
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
USENIX Symposium on Operating Systems Design and Implementation · 2018
123
cited
BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark
International Conference on Software Engineering · 2016
85
cited
Machine Learning at Microsoft with ML.NET
Knowledge Discovery and Data Mining · 2019
84
cited
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale
ACM Symposium on Cloud Computing · 2016
81
cited
Extending Relational Query Processing with ML Inference
Conference on Innovative Data Systems Research · 2019
75
cited
A Tensor Compiler for Unified Machine Learning Prediction Serving
USENIX Symposium on Operating Systems Design and Implementation · 2020
56
cited
End-to-end Optimization of Machine Learning Prediction Queries
SIGMOD Conference · 2022
52
cited
Steering Query Optimizers: A Practical Take on Big Data Workloads
SIGMOD Conference · 2021
51
cited
Data Science through the looking glass and what we found there
arXiv.org · 2019
50
cited
Fixpoint semantics and optimization of recursive Datalog programs with aggregates*
Theory and Practice of Logic Programming · 2017
50
cited
Query Processing on Tensor Computation Runtimes
Proceedings of the VLDB Endowment · 2022
50
cited
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques
Proceedings of the VLDB Endowment · 2013
46
cited
Combining user and database perspective for solving keyword queries over relational databases
Information Systems · 2016
44
cited
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML
Conference on Innovative Data Systems Research · 2019
43
cited
Proof positive and negative in data cleaning
IEEE International Conference on Data Engineering · 2015
40
cited
Tensors: An abstraction for general data processing
Proceedings of the VLDB Endowment · 2021
35
cited
Building Continuous Integration Services for Machine Learning
Knowledge Discovery and Data Mining · 2020
33
cited
Coded Elastic Computing
International Symposium on Information Theory · 2018
33
cited
Sotabase
Matteo Interlandi | Researcher Profile | Sotabase | Sotabase