Daniel Henrique Pereira

Daniel Henrique Pereira
University of Cambridge | Cam · Cambridge Research Institute

Bachelor of Business Administration
- Business Intelligence - Pseudo-random Number Generators - Complex Dynamical Systems - Number Theory - Statistics

About

8
Publications
5,802
Reads
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0
Citations
Citations since 2017
8 Research Items
0 Citations
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Introduction
- Passed the final round of the Brazilian Mathematics Olympiads in 2008 and 2010 - U11 and U17 soccer player (2008-2014) - Bachelor's degree in Business Administration from Pontifícia Universidade Católica de Minas Gerais (2017-2022) - Scientific paper "Revolution 4.0: Internet of Things and its pillars" awarded by Pontifical Catholic University of Minas Gerais (2019) - Monograph entitled "Artificial Intelligence: uses and applications in small businesses" (2021)
Additional affiliations
February 2022 - present
University of Cambridge
Position
  • Member
February 2020 - May 2021
Pontifícia Universidade Católica de Minas Gerais
Position
  • Bioethics Committee Member
February 2018 - December 2021
Pontifícia Universidade Católica de Minas Gerais
Position
  • Researcher
Description
  • I have worked with scientific articles on topics such as Business, Strategic, Social Science, Time Series, Discrete Mathematics, Mathematical Modeling, Computer Science, Complex Dynamical Systems.
Education
August 2021 - November 2023
Massachusetts Institute of Technology
Field of study
  • Statistics and Data Science | MicroMasters Program
February 2017 - June 2022

Publications

Publications (8)
Article
Full-text available
A Inteligência Artificial tem demonstrado ser uma tendência sem caminho de volta para a sociedade contemporânea. Seus impactos, tanto positivos quanto negativos, têm sido percebidos no mundo empresarial, inclusive nos pequenos negócios. O presente estudo buscou identificar as principais formas e ramificações da Inteligência Artificial apontando se...
Preprint
Full-text available
Population projection is essential for the public and private sectors because it is possible to estimate the number of people that will be served by infrastructure works and services. In this paper, a mathematical model based on alternative exponential smoothing was presented, tested, and approved in thousands of real case studies in different fiel...
Preprint
Full-text available
In this paper was presented Itamaracá, a novel simple way to generate pseudo random numbers. In general vision we can say that Itamaracá tends to pass in some statistical tests like frequency, chi square, autocorrelation, run sequence and run test. As an effect to comparison also was taking into account the results of the function R and Between by...
Preprint
Full-text available
In this paper was presented Itamaracá, a novel simple way to generate pseudo random numbers. In general vision we can say that Itamaracá tends to pass in some statistical tests like frequency, chi square, autocorrelation, run sequence and run test. As an effect to comparison also was taking into account the results of the function RandBetween by Mi...
Preprint
Full-text available
Una buena proyección de la población ayuda a los administradores a dirigir bien los recursos para satisfacer las necesidades y los deseos de su población, ya que los recursos y servicios que se asignarán a hospitales, escuelas, obras de infraestructura, entre otros, dependerán de las proyecciones realizadas por el observador responsable. En el sigu...
Preprint
Full-text available
RESUMO: As metodologias matemáticas visam solucionar problemas da realidade empírica de maneira ordenada, lógica e quantitativa. No presente trabalho será levado a cabo algumas das principais metodologias como a regressão linear; método aritmético; equação diferencial de Thomas Malthus e; o modelo logístico de Verhulst. Através do mesmo, será apres...

Questions

Question (1)
Question
Well,
I am a very curious person. During Covid-19 in 2020, I through coded data and taking only the last name, noticed in my country that people with certain surnames were more likely to die than others (and this pattern has remained unchanged over time). Through mathematical ratio and proportion, inconsistencies were found by performing a "conversion" so that all surnames had the same weighting. The rest, simple exercise of probability and statistics revealed this controversial fact.
Of course, what I did was a shallow study, just a data mining exercise, but it has been something that caught my attention, even more so when talking to an Indian researcher who found similar patterns within his country about another disease.
In the context of pandemics (for the end of these and others that may come)
I think it would be interesting to have a line of research involving different professionals such as data scientists; statisticians/mathematicians; sociology and demographics; human sciences; biological sciences to compose a more refined study on this premise.
Some questions still remain:
What if we could have such answers? How should Research Ethics be handled? Could we warn people about care? How would people with certain last names considered at risk react? And the other way around? From a sociological point of view, could such a recommendation divide society into "superior" or "inferior" genes?
What do you think about it?
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Note: Due to important personal matters I have taken a break and returned with my activities today, February 13, 2023. I am too happy to come across many interesting feedbacks.