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Marco Tavora
  • Male
  • RIo de Janeiro
  • Brazil
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Marco Tavora's Page

Profile Information

Short Bio
I am a theoretical physicist and data scientist. During my Ph.D. at New York University, my research was on quantum many-body systems out of equilibrium, one of today's hottest research fields in theoretical physics. In 2015 I earned a Ph.D. for my thesis "Prethermalization, universal scaling at macroscopic short times, and thermalization following a quantum quench." Subsequently, I spent two years as a postdoctoral researcher focusing on applications of computational physics methods to areas such as quantum chaos, non-equilibrium quantum dynamics, and thermalization viability. I've published several articles in the most prestigious peer-reviewed journals in the world.

I have 15 years of experience building mathematical/statistical models spanning a wide range of disciplines, including: non-equilibrium quantum systems, marketing attribution for digital and offline channels (using machine learning, game theory, stochastic processes and hierarchical Bayesian models), influencer marketing, marketing mix modeling, record linkage/data matching/entity recognition, conjoint analysis (using support vector machines), bidding optimization for digital media (using original functional optimization techniques) and many others.

I was a speaker at the American Physical Society (APS) March Meeting, the largest physics conference in the United States, in 2013, 2015 and 2016 (for more details and also information about other conferences see my personal website

In 2017 I co-founded Prior Solutions, a data-driven consulting company with clients in more than ten countries around the world.
My Web Site Or LinkedIn Profile
Field of Expertise
Data Science, Machine Learning, Deep Learning
Professional Status
Years of Experience:
Your Company:
Prior Solutions
Your Job Title:
Co-Founder and CTO
How did you find out about DataScienceCentral?
Contributing, Networking
What is your Favorite Data Mining or Analytical Website?
What Other Analytical Website do you Recommend?

Marco Tavora's Blog

Deep Learning Explainability: Hints from Physics

Posted on May 20, 2019 at 11:46am 0 Comments

Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…


Machine Learning and Particle Motion in Liquids: An Elegant Link

Posted on May 1, 2019 at 4:57am 0 Comments

The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient…


The Approximation Power of Neural Networks (with Python codes)

Posted on May 1, 2019 at 4:52am 0 Comments


It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…


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