With Behzad Tabibian, Abir De, Ali Zarezade, Bernhard Schölkopf and Manuel Gomez-Rodriguez, I have determined the optimal reviewing schedule to keep knowledge fresh in your memory for optimal recall while minimizing effort spent on learning it.

• "Optimizing Human Learning" ~ Teaching Machine, Robots and Humans at NIPS (2017); Paper.
• Webpage with summary

With Ali Zarezade, and Manuel Gomez-Rodriguez, I discovered a simple algorithm for keeping your posts visible on your follower's feeds.

• "RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks" Oral presentation at WSDM (2017); Paper.
• Webpage with demo
• Networks-Learning/RedQueen

With Isabel Valera and Manuel Gomez-Rodriguez, I am developing models to understand how learning happens on Crowdlearning sites, such as Stack Overflow and Wikipedia.

• "On Crowdlearning: How do People Learn in the Wild?", oral presentation at Workshop on Machine Learning for Education at NIPS (2016);
• "Uncovering the dynamics of Crowdlearning and the Value of Knowledge", oral presentation at WSDM (2017); Paper.

With Nan Du, Hanjun Dai, Rakshit Trivedis, Manuel Gomez-Rodriguez, and Le Song, I developed am model which uses recurrent neural networks to model point processes, yielding impressive predictive results.

• "Recurrent marked temporal point processes: Embedding event history to vector", Poster presetned at KDD (2016); Paper.

• Slides for the tutorial
• Project material on Github