Adria Romero

✔️ My Mission: Empower society with smarter technology every day. 🔆 My Vision: Drive inherent transformation and unique growth to the tech industry.
🌠 My Passion: Use data and technology to answer the “why” behind complex business problems.

👨‍💻 Currently, I am a Product Data Scientist at Triage, bringing AI technologies to healthcare products. At Triage, I develop artificial intelligence solutions for dermatology that keep learning and making better predictions from users every day.

🌃 At nights, I curate Productize ML, an instruction guide for Developers and Product Managers building Machine Learning products.

💡 I love using innovative thinking, strategic planning, and data-driven decision making to help support the businesses and projects that I work on, both personally and professionally. Nothing makes me happier than to know that what I implement can make processes more efficient and that I create insight into KPIs that improve business function.

🎓 I am currently enrolled in the Online Master of Science in Computer Science (OMSCS) at Georgia Institute of Technology graduating in December 2021. In 2017, I graduated from Polytechnic University of Catalonia in Electrical Engineering. I completed my Bachelor’s Thesis at Florida Atlantic University about Deep Learning techniques applied to Medical Imaging in 2016.

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

News


Industry Experience

Product Data Scientist

Triage
Apr 2018 - Current
Toronto, Canada
[description]

Machine Learning Engineer

Triage
Apr 2017 - Apr 2018
Toronto, Canada
[description]

Founder and Instructor

Productize ML
Jan 2020 - Current
Toronto, Canada
[description]

Machine Learning Engineer Intern

Insight Centre for Data Analytics
Feb 2017 - Apr 2017
Dublin, Ireland
[description]

Scholarship Program

Huawei
Jun 2016 - Jul 2016
Beijing, China
[description]

Founder

laFarmacoteca
Sept 2014 - Apr 2017
Barcelona, Spain
[description]

Elite/Premier Channel Partner Assistant

Schneider Electric
Jan 2016 - Jun 2016
Barcelona, Spain
[description]


Education

M.Sc. in Computer Science

Georgia Institute of Technology (GaTech)
Atlanta, USA
January 2020 - January 2021 (Expected)

Visiting Student

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

B.Sc. in Telecommunications Engineering

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


Talks

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

Q&A-informed image-based deep learning for skin disease recognition in the real world
Nov 2018. Google’s Office, Toronto, Canada.

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

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

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


Projects

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]


Publications

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]

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]


Courses

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

Deep Learning Specialization by Andrew Ng
deeplearning.ai
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


Honors & Awards

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

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

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

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


Media

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


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