UCLA Big Data and Machine Learning Seminar, Los Angeles, CA, USA October 2018
Machine Learning is / as a System Problem

SysML 2018, Stanford, CA, USA February 2018
Towards High-Performance Prediction Serving Systems

Spark Summit 2017, San Francisco, CA, USA June 2017
Debugging Big Data Analytics In Apache Spark With BigDebug

Spark Summit 2017, San Francisco, CA, USA June 2017
Lazy Join Optimization Without Upfront Statistics

SoCC 2016, Santa Clara, CA, USA October 2016
Optimizing Interactive Development of Data-Intensive Applications

Platofora, San Mateo, CA, USA, October 2016
Interactive Debugging of Big Data Programs

UCLA DB Seminar, Los Angeles, CA, USA October 2016
Optimizing Interactive Development of Data-Intensive Applications

VLDB 2016, New Delhi, India, September 2016
Titian: Data Provenance support in Spark

2016 Big Data Day LA, Los Angeles, CA, USA, July 2016
Data Provenance Support in Spark

Teradata, Los Angeles, CA, USA, June 2016
Provenance Debugging for Big Data Applications

ScAI Big Data Symposium, Los Angeles, CA, USA, August 2015
On the CALM principle for Bulk Synchronous Parallel (BSP) computation: towards coordination-free data-parallel systems

Politecnico di Milano, Milan, Italy, February 2014
On Declarative Data-Parallel Computation: Models, Languages and Semantics