prlz77

An information compressor in a pale blue dot.

Pau Rodríguez López

Research Scientist at Apple Machine Learning Research.
Adjunct professor at Universitat Autònoma de Barcelona.
ELLIS member.

Work Experience

Nov 2022 - present	Research Scientist Apple Machine Learning Research Full-time researcher led by Samy Bengio.
May 2020 - Present	Adjunct Professor Universitat Autònoma de Barcelona Supervising students as "colaborador docente".
April 2022 - Oct 2022	Research Lead ServiceNow Research, Montreal Low-data learning in the fundamental research group.
Jan 2021 - April 2022	Research Scientist ServiceNow Research, Montreal Low-data learning in the fundamental research group.
June 2019 - Jan 2021	Research Scientist Element AI, Montreal Machine learning and computer vision.
Feb 2018 - June 2019	Research Internship Element AI Designing new machine learning algorithms that generalize from scarce data.
March 2014 - Sep 2014	Research Assistant Visual Tagging Services, Computer Vision Center Developing learning algorithms for image classification.
Oct 2013 - May 2014	Research Assistant Universitat Autònoma de Barcelona Engineering on large-scale image classification and retrieval techniques using state-of-the-art Convolutional Neural Networks.
Jun. 2013 - Oct. 2013	Member of the Chalearn Organization Committee Computer Vision Center, Universitat Autònoma de Barcelona Research assistant on designing, capturing, labelling and organizing the human gesture databases used in the ChaLearn Multimodal Gesture Recognition Challenge 2013, and in the ChaLearn Looking at People 2014.
Sep. 2012	Research Assistant Department of Information and Communications Engineering, Universitat Autònoma de Barcelona. Extension of a standard proposal for the Consultative Commitee for Space Data Systems for the Group on Interactive Coding of Images. Implementation based on the NASA's CSSDS-122 Public Release Version.

Studies

2015 - 2019	PhD researcher Computer Vision Center, Universitat Autònoma de Barcelona Towards Robust Neural Models for Fine Grained Image Recognition. Best PhD award from UAB, Cum Laude, International distinction. Thesis link
2014 - 2015	Advanced master of Artificial Intelligence KU Leuven Magna Cum Laude. Thesis: Reducing Redundancy in Deep Convolutional Neural Networks, supervised by Peter Roelants and Bart de Moor. Thesis link
2009 - 2014	BSc + MSc in Computer Engineering Universitat Autònoma de Barcelona Top-1 student Extraordinary Degree Award. Thesis on deep learning applied to Big Data analytics.

Projects

Jun. 2015	MASTER THESIS - Reducing Redundancy in Convolutional Neural Networks STADIUS, KU Leuven Director: Prof. Bart de Moor / Supervisor: Peter Roelants Successfully reduced the redundancy of CNNs by pruning redundant filters.
Jun. 2014	DEGREE THESIS - A Big Data approximation with deep neural networks Computer Science department, Universitat Autònoma de Barcelona Director: Jordi Gonzàlez Sabaté / Supervisor: Pep Gonfaus Designed and deployed a deep learning system for big data applications.

Awards and merits

2022	NeurIPS Top Reviewer NeurIPS
2021	Recognition to Young Researchers in AI AI-Network & Big Data Magazine
2021	National Prize to Young Researchers BBVA Foundation, Spanish Society of Computer Science Research (SCIE)
2021	ICLR2021 Best Reviewer Award ICLR
2021	Extraordinary PhD Award Universitat Autònoma de Barcelona
2020	NeurIPS2020 Top 10% Best Reviewer Award NeurIPS
2020	ICML2020 Top 33% Best Reviewer Award ICML
2017	Google Summer of Code tiny-dnn - OpenCV Long short-term memory networks on tiny-dnn.
2016	FI Doctoral scholarship Government of Catalonia Ajuts per a la contractació de personal investigador novell.
2014	Extraordinary degree award Universitat Autònoma de Barcelona Award for the top average grading of the class.
2014	Kaggle Galaxy Zoo kaggle.com 15th out of +300 recognizing galaxies with CNNs.

Teaching and Seminars

Mar. 2022	Continual Learning Universitat Politècnica de Catalunya
2019 - 2025	Image Classification Computer Vision Center, UAB
2016 - 2019	Machine Learning Seminars Engineering school, UAB
2025	Invited Talk: From Experts to Distributions ELLIS Doctoral Symposium / ServiceNow / PrAIR-Stanford
Mar. 2023	Invited Talk: Deep Learning in the Low Data Regime Apple
Dec. 2022	Invited Talk: Continual Learning via Local Module Composition Barcelona Deep Learning Symposium

Other courses

2014	Machine Learning Coursera - Standford, Andrew NG.

Reviewing

Journals	TPAMI, EAAI, PAAA, IEEE-JBHI, IEEE-TM, IMAVIS.
Conferences	Area Chair (NeurIPS2024+, ICLR2025+, ICML2025+). Reviewer: NeurIPS2016+, ICLR2020+, ICML2020+, CVPR2021+, ICCV2021+, WACV2021+, COLLAS2022+, MAIS2020+.

Mentoring

2024 - 2025	DLBCN Mentorship Program Mentoring Jordi Morales and Alex Serrano
2024	Women in ML / LatinX in AI ICML Mentor
2019 - 2025	Student Supervision Aditya Arora (PhD), Alex Ferrando (MSc), Pau Vallespi (MSc), Diego Velazquez (PhD), Sergi Masip (MSc), Alexey Ostapenko (Intern), Parichehr Behjati (PhD), Rim Assouel (Intern), Gabriel Huang (Intern), Oscar Mañas (Intern), Massimo Caccia (Intern)

In the Media

2022	Interview about pain recognition Radio Nacional de España
2021 - 2023	Interview about BBVA award Informativos Telecinco / XL Semanal / El País / El Español
2017	El teléfono se queda con tu cara La Vanguardia

Publications

You can visit my Google Scholar