Gabriele Modena

Tue 25 May 2024

I am a computer scientist and {software, machine learning} engineering practitioner.

Notes

• Building the OpenJDK/HotSpot disassembler with Nix June, 2024,
• Async I/O with PyFlink May, 2024
• Differential Privacy with Apache Spark October 2022
• Probabilistic Nearest Neighbours March 2022
• Course notes on differential privacy June 2021
• Exploratory analysis of Prebid auctions April 2021
• Python bytecode analysis January 2021
• The Overland Track December 2020
• Advent Of Code 2020, Day 5: binary boarding December 2020
• My DIY mechanical keyboard project July 2018
• Factorization Machines with Tensorflow February 2017
• Bayesian changepoint detection with R and Stan September 2016
• Learning rugby world rankings May 2016
• 2015 Rugby World Cup predictions October 2015
• Bobo the amoeba September 2015
• Ensemble learning - stacked generalization August 2015
• Feature ranking with CART and Random Forests in sklearn June 2015

Publications

• Publishing Wikipedia usage data with strong privacy guarantees September 2023
• Learning Hadoop 2 February 2015
• Analyzing Grid log data with Affinity Propagation June 2013
• Estimating mental states of a depressed person with Bayesian Networks June 2013
• Ict4depression: SoA applied to the treatment of depression Dec 2012
• Product extraction from wikipedia (preprint) June 2009
• A Metric for Software Vulnerability Identification (preprint) Jan 2009
• Providing QoS by scheduling interrupt threads August 2008

Talks

• The structure of CPython bytecode ING.py #1, September 2020
• Machine Learning in AdTech TU/e May 2018
• Bid dynamics in RTB auctions (ITA)IAB Forum Milan, December 2015
• Resilient Distributed Datasets Papers We Love Amsterdam, August 2015
• Approximation algorithms for stream and batch processing Search Engines Amsterdam, March 2015
• Moving towards a streaming architecture Strata + Hadoop World, November 2014
• Full stack analytics with Hadoop 2 Invited talk at Spaziodati, September 2014