Guilherme Augusto Zagatti

Guilherme Augusto Zagatti’s is a PhD student at the Institute of Data Science (IDS) in the National University of Singapore (NUS) and a recipient of the Integrative Sciences and Engineering Programme (ISEP) scholarship. His main research interest is point processes. He has developed data warehouses for handling such data, modeled phenomena — from disease transmission to social interactions — as such and developed simulation algorithms for it. Currently, he is investigating machine learning applications to discover patterns in point processes. Previously, he worked as a data scientist at Flowminder where he contributed to the development of analytical toolkits and socio-economic research using call detail records and remote sensing data for poverty mapping and mobility analysis. He spent two years as an Overseas Development Institute (ODI) Fellow in the Ministry of Economic Planning and Development in Eswatini. Guilherme holds a BSc in Economics and MSc in Econometrics and Mathematical Economics from the London School of Economics.

Talks:

19:30 UTC

Extending JumpProcesses.jl for fast point process simulation

07/26/2023, 7:30 PM — 8:00 PM UTC
32-D463 (Star)

Point processes model the occurrence of a countable number of random points over some support. They are useful to describe phenomena including chemical reactions, stockmarket transactions and social interactions. In this talk, we show that JumpProcesses.jl is a fast, general purpose library for simulating point processes, and describe extensions to JumpProcesses.jl that significantly speed up the simulation of point processes with time-varying intensities.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS