Home Conferences Covid-19 Modeling & Machine Learning

Covid-19 Modeling & Machine Learning

IE Business School would like to invite you to a Virtual Masterclass for its Full-Time Masters

PROFILE Master Degree and Executive education
EVENT TYPE Conferences
EVENT FORMAT Online events
DATE 22nd April 2020
TIME 15:00 - 16:30 (GMT +01:00)
LANGUAGE English
Covid-19 Modeling & Machine Learning

The outbreak of the coronavirus disease (Covid-19) has spread around the world. The number of newly infected individuals in mainland China, South Korea or Japan is restrained. However, other countries such as Italy, Spain or the US are still struggling with the increasing number of new cases.

IE Business School would like to invite you to a Virtual Masterclass for its Full-Time programs. These sessions are aimed at giving prospective candidates, who are unable to visit our Madrid campus, the opportunity to experience a class at IE.

The objective of this masterclass is to give an overview of the SIR “epidemiology” model, underlying math and source code in python, optimisation & machine learning techniques and the outcome of my simulation by using the dataset of Covid-19. SIR stands for Susceptible, Infected and Recovered (or alternatively Removed) and indicates the three possible states of the members of a population afflicted by a contagious decease.

There is a mathematical model (SIR) describing the evolution of infectious disease. Other popular models are SEIR, SIS or SIRD. In this masterclass, we will be using Python, and the appropriate math and optimization libraries to code the model. SIR model uses a set of 3 differential equations. They will be solved by using numerical procedures. Machine learning techniques will be used to optimize the parameters of the model.

We will cover AI, numerical procedures, optimization & machine learning models in python language, that We regularly implement in our firm: TREELOGIC (a brand that belongs to TREE TECHNOLOGY S.A.). 

TREELOGIC focuses on health IT solutions with a triple perspective: software engineering, big data and data science solutions for 170 public and private hospitals around the globe, with more than 85 computer & data scientists.

About the Speaker:

Antonio Rivela is currently an adjunct Professor at IE Business School and obtains a Ph.D. in Finance and Industrial Engineer (ICAI) by training, He is also a partner of TREELOGIC an IT firm in the business of artificial intelligence and big data and the CEO and founder of NETVALUE FORENSIC SLP, a firm that focuses on litigation/arbitration disputes from a financial & engineering perspective.  

He has worked as an investment banker and financial consultant since 1996: mostly derivatives, fixed income, debt capital markets and corporate finance in the following positions: Managing Director at UBS. European Co-Head of Fixed Income/DCM and Derivatives Sales, Director at Deutsche Bank. Responsible for derivatives structuring. Spain and Portugal, Analyst at Merrill Lynch. Mergers and Acquisitions, Analyst at Banco Santander. Derivatives valuation models quant.

We look forward to seeing you online!

Warm regards,


Admissions Team
IE Business School

 

 

Our speakers

Professor at IE Business School

Antonio Rivela is an adjunct Professor at IE Business School and obtains a Phd in Finance and Industrial Engineer (ICAI)