PhD researcher on AI and Computer Vision.
Research Scientist at Element AI Montreal.
ELLIS member.

---

Studies

---

2015 - 2019	PhD researcher Computer Vision Center, Universitat Autònoma de Barcelona On bio-inspired machine learning techniques applied to computer vision and social media.
2014 - 2015	Advanced master of Artificial Intelligence KU Leuven Magna Cum Laude. Topics: Artificial Neural Networks, Machine learning, SVM, Data Mining, Cybernetics and more.
2009 - 2014	Computer Engineering (5 years) Universitat Autònoma de Barcelona With honors. Topics: Artificial Intelligence, Networks, HPC and more.

Work Experience

---

June 2019 - present	Research Scientist Element AI, Montreal Metalearning, Computer Vision
Feb 2018 - Feb 2019	Research Internship Element AI, Montreal. Unsupervised Deep Learning and Uncertainty.
May 2014 - Aug. 2014	Research Assistant Visual Tagging Services, Computer Vision Center, Universitat Autònoma de Barcelona. Developing learning algorithms for image classification.
Oct 2013 - May 2014	Research Assistant Universitat Autònoma de Barcelona Engineering on large scale image classification and retrieval with deep learning techniques.
Jun. 2013 - Oct. 2013	Member of the Chalearn Organization Committee Computer Vision Center, Universitat Autònoma de Barcelona Research assistant, organizing the human gesture databases used in the ChaLearn Multimodal Gesture Recognition Challenge 2013, and in the ChaLearn Looking at People 2014 @gesture.chalearn.org, co-organized by CVC, UAB, UB, UOC, Coplinet (California) and Microsoft.
Sep. 2012	Research Assistant Department of Information and Communications Engineering, Universitat Autònoma de Barcelona. Extending proposal of standard for the Consultative Commitee for Space Data Systems for the Group on Interactive Coding of Images. Working over an implementation based on the Nasa’s CSSDS-122 Public Release Version.

Projects

---

Jun. 2015	MASTER THESIS - Reducing Redundancy in Convolutional Neural Networks STADIUS, KU Leuven Director: Prof. Bart de Moor / Supervisor: Peter Roelants Successfuly reduced the redundancy of CNNs by prunning 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

---

2020	Best Reviewer Award NeurIPS Top 10% Best Reviewer Award
2020	Best Reviewer Award ICML Top 33% Best Reviewer Award
2017	Google Summer of Code tiny-dnn - OpenCV Include recurrent neural networks in the tiny-dnn framework.
2016	FI Doctoral scholarship Government of Catalonia Government fundings for the PhD studies.
2015	PIF Doctoral scholarship Universitat Autònoma de Barcelona Waived.
2015	First-of-class honours Universitat Autònoma de Barcelona Distinction for the best grade in the class.
2014	Kaggle Galaxy Zoo kaggle.com 15th out of +300, signed as prlz77.
May 2014 - Aug. 2014	Santander Grants for SME Internships Santander Bank For an internship in Visual Tagging Services.
May 2014	Scholarship for collaboration in a University department. Spanish Ministry of Education

Teaching and Seminars

---

Nov. 2020	Deep Learning in the Physical Sciences and Engineering McGill University, Department of Chemical Engineering, Montreal, Canada.
Aug. 2020	Towards robust models for fine-grained image recognition ETS University, Montreal, Canada
2018	Computer Vision and AI seminar Parc de Recerca, UAB
2018	AI4ALL Computer Vision and AI lab Engineering school, UAB
Sept. 28th 2018	How do machines learn? CosmoCaixa (Nit de la recerca), Barcelona
2018-2019	Machine Learning lab (Computer Engineering) Engineering school, UAB
2016-2017	Machine Learning seminars (Computer Engineering) Engineering school, UAB
2015-2016	Programming methodology labs (Computer Engineering) Engineering school, UAB
Oct. 14th 2015	Deep learning 101 Vall d'Hebron Research Institute (VHIR), Barcelona

Other courses

---

2014	Machine Learning Coursera - Standford, Andrew NG.

Reviewing

---

Journals	IEE TM, IMAVIS, TPAMI, PR
Conferences	CVPR, ICCV, ICML, NeurIPS, WACV, ICLR

Publications

---

You can visit my Google Scholar