Mauricio Perez

Postdoctoral Fellow at Genome Institute of Singapore

Singapore
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Summary

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Senior
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Mauricio Perez is a postdoctoral fellow at the Genome Institute of Singapore with 11 years of experience bridging machine learning and genomics, focused on nanopore signal analysis and direct sequencing of synthetic DNA with unnatural bases. He holds a PhD in Electrical and Electronic Engineering from Nanyang Technological University and brings a strong software and systems background from earlier roles in IT service management and performance engineering. Mauricio combines deep technical rigor in developing AI-driven methods for healthcare with hands-on experimental genomics at the MTMS lab. He is driven to translate computational research into real-world improvements in human well-being and is comfortable navigating both wet-lab collaborations and production-grade software workflows.
code11 years of coding experience
bookDoctor of Philosophy (PhD), Electrical and Electronic Engineering, Doctor of Philosophy (PhD), Electrical and Electronic Engineering at Nanyang Technological University
bookMaster's degree, Computer Science, Master's degree, Computer Science at Universidade Estadual de Campinas
bookBachelor's degree, Computer Science, 8.4, Bachelor's degree, Computer Science, 8.4 at Universidade Federal de São Carlos / UFSCar
languagesEnglish, Portuguese, Spanish
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Stackoverflow

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360reputation
247kreached
6answers
0questions
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Github Skills (27)

caffe10
windows10
editor10
cpp10
notepad10
pytorch9
python9
machine-learning9
deep-learning9
interaction8
tensorflow8
data-science8
relational7
action-recognition7
latex7

Programming languages (2)

C++Python

Github contributions (5)

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mauriciolp/inter-rel-net

Dec 2019 - Jan 2021

Code used at paper "Interaction Relational Network for Mutual Action Recognition" TMM 2021.
Contributions:1 review, 11 commits, 2 pushes in 1 year 1 month
pytorchinteractionrelationaldeep-learningrecognition
Contributions:1 push, 1 branch, 1 comment in 1 year 4 months
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Mauricio Perez - Postdoctoral Fellow at Genome Institute of Singapore