Javier Burroni

PhD

I completed my PhD in computer science at the University of Massachusetts Amherst, under the supervision of Daniel Sheldon. Over the past two decades, I have contributed to the areas of Machine Learning, Data Science, Programming Languages, and Information Security through a combination of industry and academic roles.
Although some of my work originated in the southern parts of South America šŸ§‰, it has gained international recognition and advanced the field.
My recent research efforts have been divided into two main areas: developing more efficient machine learning algorithms and enhancing programming languages as powerful tools of thought.
In addition to my computer science background, I hold a degree in actuarial sciences from the University of Buenos Aires and a masterā€™s degree in economics from the Torcuato Di Tella University. These degrees have not only given me a strong understanding of probability, enhancing my work in computer science, but also helped me develop an interest in real-world problems, which continues to motivate some of my research.

You can learn more about my research and professional history by checking out my publications and cv.

news

JulĀ 16,Ā 2024 I presented our work on SAA for VI at UAI 2024. There were very interesting discussions.
MarĀ 1,Ā 2024 This year, Iā€™m acting as the publication chair for AISTATS 2024. It is an amazing excuse to read many many papers.
FebĀ 20,Ā 2024 This semester, Iā€™m visiting Mount Holyoke College Mount Holyoke College. Iā€™ll be teaching ā€œData Structures and Introduction to Java.ā€
SepĀ 12,Ā 2023 I gave a talk at basis.ai and presented our work on Sample Average Approximation for VI and U-statistics for IWVI. It was very enjoyable to give a talk and discuss with such a thoughtful audience. Thanks to Zenna for the invitation!
JulĀ 20,Ā 2023 I will be attending AABI and ICML 2023 in Hawaii. Feel free to stop by and say hi!