Adria Romero

Senior Data Scientist at Triage, based in Toronto, developing artificial intelligence, computer vision and Q&A solutions for healthcare. My applied research and engineering work focuses on machine learning, computer vision, medical imaging and Q&A systems.

In 2017, I graduated from Polytechnic University of Catalonia in Electrical Engineering. I completed my Bachelor’s Thesis at Florida Atlantic University advised by Professor Oge Marques and Professor Xavier Giro-i-Nieto about Deep Learning techniques applied to Medical Imaging in 2016.

Find me on or email me at adriaromero [at] me [dot] com .


Industry and Research Experience

Senior Data Scientist at Triage
Apr 2019 - Current
Toronto, Canada

AI Researcher & Developer at Triage
Apr 2017 - Apr 2019
Toronto, Canada

Machine Learning Engineer Intern at Insight Centre for Data Analytics
Feb 2017 - Apr 2017
Dublin, Ireland

Visiting Student at Florida Atlantic University
Aug 2016 - Feb 2017
Boca Raton, Florida, USA
[description] [thesis]


Life on Mars?

GAN-generated images of a terraformed Mars
NeurIPS 2018 Workshop on Machine Learning for Creativity and Design
Authors: Albert Jimenez, Adria Romero, Stephen Solis-Reyes, Mohamed Akrout, Anirudh Challa [abstract] [website] [NeurIPS website]

Artify the Earth

Neural Style Transfer techniques applied to satellite and planet images
Project developed during the 2018 Space Apps Challenge organized by NASA.
Authors: Albert Jimenez, Adria Romero, Stephen Solis-Reyes, Mohamed Akrout, Anirudh Challa [abstract] [instagram][slides]

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Deep Learning techniques applied to Medical Imaging
Advisor: Dr. Oge Marques
Co-Advisor: Dr. Xavier Giro-i-Nieto
[abstract] [website] [pdf] [slides]


B.Sc. in Telecommunications Engineering

Polytechnic University of Catalonia (UPC)
Barcelona, Spain
Sept 2011 - Jan 2017


Medical Imaging Summer School 2018 [website]
Sicily, Italy
July 2018

Deep Learning Specialization by Andrew Ng
Sep 2017

Deep Learning for Computer Vision Barcelona [website]
Polytechnic University of Catalonia (UPC)
Summer 2016

CS231n - Convolutional Neural Networks for Visual Recognition [website]
Stanford University
Spring 2016


The impact of segmentation on the accuracy and sensitivity of a melanoma classifier based on skin lesion images.

Jack Burdick, Oge Marques, Adrià Romero-López, Xavier Giró-i-Nieto
In Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM).
Pittsburgh, PA, USA. 2017
[abstract] [paper]

Skin Lesion Classification from Dermoscopic Images using Deep Learning Techniques.

Adria Romero-Lopez, Xavier Giro-i-Nieto, Jack Burdick, Oge Marques
13th IASTED International Conference
Innsbruck, Austria. 2017
[abstract] [paper]


Novartis I+Derma: Detect Disease in a Snap.
Nov 2019. Novartis Spain, Madrid, Spain. [slides]

GPI Seminar Series: Towards skin disease recognition using deep learning.
Jul 2018. UPC, Barcelona, Spain. [abstract] 🐦

Universitat Politecnica de Valencia (UPV): Some insights and Deep Learning in a nutshell.
Oct 2017. Valencia, Spain. [slides] 🐦

Hospital Clínic - Medicine and Dermatology (ICMiD) to Dr. Susana Puig, Dr. Josep Malvehy and their team as audience.
Jul 2017. Barcelona, Spain.


Q&A-informed image-based deep learning for skin disease recognition in the real world

Adria Romero-Lopez, et. al
In Self-Organizing Conference on Machine Learning (SOCML) 2018.
Google - Toronto, Canada. Nov 2018
[abstract] [pdf]

Honors & Awards

Jun 2018 - Best Bachelor Thesis Award in the field of telecommunications engineering 2016-2017.
Universitat Politènica de Catalunya (UPC) and UPC Telefónica Catedra.
Barcelona, Spain.
[summary] [thesis] [slides]

May 2018 - Global Talent Stream
Government of Canada - Gouvernement du Canada
Toronto, Canada.

Jun 2016 - Seeds for the Future 2016 Program. Huawei Technologies Co. Ltd.
Beijing & Shenzhen, China.
[summary] 🐦

Jul 2011 - Young Research Award 2011 (Premi de Recerca Jove). Government of Catalonia.
Barcelona, Spain.


Huawei, Seeds for the Future Award at UPC news [article]

© 2018 Adria Romero Lopez. Adapted from White Paper Jekyll template.