Miguel Romero | Applied Scientist

Bay Area

A little about me...

Hello,

This is Miguel, a bay area transplant from Barcelona.

I am interested in knowledge representation and understanding. I find particulary interesting knowledge graphs and natural language processing -- "words are not just text units but first class citizens in our mental knowledge graph".

🚴🏽 🏃 and 🏊 are the protocols I use to re-boot.

I am an Applied Scientist II at the Amazon ML Solutions Lab where I have the pleasure of working with a team of incredible scientists and inspiring projects from AWS's strategic customers.

Academic Publications

2021

Coming up ...

2020

COVID-19 knowledge graph: Accelerating information retrieval and discovery for scientific literature [AACL-IJCNLP: KNLP 2020]; Colby Wise, Vasileios Ioannidis, Miguel Romero, Xiang Song, George Price, Ninad Kulkani, Ryan Brand, Parminder Bhatia, George Karypis
Targeted transfer learning to improve performance in small medical physics datasets [AAPM 2020]; Miguel Romero, Yannet Interian, Timothy Solberg, Gilmer Valdes

2019

Predicting Unethical Physician Behavior At Scale: A Distributed Computing Framework [3rd IEEE-ICSCI 2019]; Anastasia Keck, Miguel Romero, Robert Sandor, Diane Woodbridge, Paul Intrevado