Homepage of Armando Vieira

Professor, Entrepreneur, Data Analyst and Scientist

  • Data Scientist at Stratified Medical, London
  • I’m a PhD Physicist turned into a Data Scientist with an entrepreneurial mindset. Passionate about Data and Machine Learning, Physics and Artificial Intelligence.
  • Fanatic R user and Python advocate for big data analysis.
  • Deeply engaged  in applying Deep Learning to challenging problems: one of the pioneers in the field with this publication in 2003 and a more recent one on multimodal learning with Stacked Auto-Encoders.
  • Co-Founder and CTO of dataAI.
  • See my Linkedin profile and my Github repository for more details.

  • My researh

    Armando Vieira

    After my PhD at University of Coimbra, I spent a year in Grenoble, France, as a Postdoc. Then I decided to do something new.
    From 1998 to 2000 I worked on the Portuguese Nuclear Reactor at Sacavém, studying neutron diffusion and radiation protection.

    Since 1998 I fell in love with Artificial Neural Networks (ANN) and Machine Learning. I applied these techniques to any problems that I could put my hands on: from physics to economics or even deep oil discovery. We were able to successful apply ANN to several Rutherfod  BackScattering (RBS) spectra analysis of thin films and revolutionize the field of real-time RBS.

    In 2003, I was able to propose a new algorithm to train Neural Networks for classification problems and apply it to complex tasks, namely financial distress prediction of private French companies.

    In 2004 I took a Sabbatical leave at Los Alamos National Laboratory to engage in the study of Complex Network Analysis.  A topic that I eventually resume early in 2011 and in which I have a keen interest, especially in its applications to recommendation systems and correlated credit events (dominó bankruptcies). Early 2011 Tiago and I were the first portuguese team to be accepted at Seedcamp London, the biggest entrepreneurship meeting in Europe.

  • My Passions

    Data analysis, algorithms, machine learning, social networks, complexity.

  • My Education

    I had the privilege to take my degree of Physics, in 1990, at one of the best Portuguese engineering schools, Instituto Superior Técnico, in the beautiful city of Lisbon.
    In 1993 I took the master degree in Plasma Physics to study the hot plasma of the ISTOK tokamak using function parametrization. I moved to Coimbra in 1993 for my PhD in Theoretical Physics. Though I didn’t love the city, I got fascinated by the personality and character of Professor Carlos Fiolhais. The thesis was on fission of metallic clusters – building blocks of nanotechnology.

  • Teaching

    Beside being a full professor of physics at ISEP, I lectured on several international post-graduated degrees, like master in Bioinformatics in University Pompeu Fabra in Barcelona and at a MBA on real estate in ISEG, Lisbon.
  • My new project EDUKE.me

    O meu novo projecto Eduke.meUm exemplo de um curso que temos disponível:

    cloud para startups eduke.me




I’ll be a speaker @PyData London 2015

The topic will be “Information Retrieval from Knowledge Graphs and non-Structured data sources”. The full schedule of the meeting is here: http://london.pydata.org/schedule/

Talk on Conference of R users in London (REAL)

My talk on Earl Conference, London 2015 will be “Building interactive visualizations with Shiny to explore data from social and health care in UK”. Social and Health care in UK produce annulay immense data aggregated at several levels. To add to the challenge, data is...

Social Care and Health in UK using Google charts

This is my newest visualization work using UK data. http://armandoanalytics.blogspot.pt/2015/03/health-social-care-uk.html

Are Data Scientists magicians?

Sitting atop a mountainous treasure trove of data, most all businesses are thirsty for people who can take a massive set of data and turn it into something meaningful. Whether it’s pinpointing new sources of revenue or predicting the next, best product feature, businesses are...

What’s wrong with AI approach?

There have been tremendous advances in AI and lots of buzz around the possibility of the singularity coming soon acclaimed by scientists like Kurzweil. Inspired by the success of Deep learning, the new kid in town that took the field by storm winning almost all machine learning...

Is Deep Learning capable to solve the AI puzzle?

Deep Learning is the buzz word of the moment. But can it revolutionize artificial intelligence as some suggests? There is good reason to be excited about deep learning, a sophisticated “machine learning” algorithm that far exceeds many of its predecessors in its abilities to...

Machine Learning for business is much more than number crunching

“We have build a marvelous model using Deep Learning!”. Sure, but what does it means when heading for production?  Does the data is as clean at it should? Is it available? At what cost? What are legal and privacy implications? How will customers react? Will decisions...

Early Steps of deep learning

I’m very thankful to Jurgen Schimdhuber for having cited my work on HLVQ on its excellent review as one of the predecessors of Deep Learning. It was published in 2003.

The Business side of Deep Learning

I’m very happy that any area of machine learning (aka, statistical inference and decision-making) is beginning to make impact on real-world problems. I’m also overall happy with the rebranding associated with the usage of the term “deep learning” instead...