Pedro Serôdio

Pedro Serôdio

Research

Control AI

Biography

I am currently a Researcher in AI Policy at Control AI.

Download my resumé.

Interests
  • Macroeconomics
  • Innovation
  • Growth
  • Policy analysis
  • Artificial Intelligence
Education
  • PhD in Economics, 2014

    University of Essex

  • MSc in Economics, 2008

    University of Essex

  • BSc in Economics, 2007

    Universidade de Évora

Experience

 
 
 
 
 
Lecturer
Sep 2013 – Aug 2015 Colchester, Essex

Responsibilities include:

  • Teaching
  • Research
 
 
 
 
 
Teaching Fellow
Sep 2015 – Aug 2018 Coventry, West Midlands

Responsibilities include:

  • Teaching
  • Research
 
 
 
 
 
Lecturer
Sep 2018 – May 2021 London

Responsibilities include:

  • Teaching
  • Research
 
 
 
 
 
Economic Associate
Jan 2020 – Jan 2021 London

Responsibilities include:

  • Leading volunteer projects
  • Providing analytical support for projects
 
 
 
 
 
Economic Adviser
May 2021 – Oct 2022 London

Responsibilities include:

  • Analysis lead for the MDMTF and LSIMF programmes
  • Economics lead for the Analysis team in the Office for Life Sciences
 
 
 
 
 
Head of Analysis
Nov 2022 – Present London

Responsibilities include:

  • Leading a team of 9 analysts
  • Supporting on policy analysis and overseeing government publications
 
 
 
 
 
Senior Policy Adviser
Jun 2024 – Present London

Responsibilities include:

  • Developing policy on AI regulation

Skills

Matlab

70%

R

40%

Python

50%

Research

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Projects

Contact

Training

York Annual Symposium and Mini-Courses on Game Theory
2019 York Annual Symposium and Mini-Courses on Game Theory
RES Easter Training School, 2019
Course on Liquidity and Monetary Economics, taught by Randall Wright (University of Wisconsin).
CIMS Summer School, 2014
The Science and Art of DSGE Modelling: Two Parallel Dynare- and Matlab-Based Course and One-Day Conference, taught by Cristiano Cantore (University of Surrey), Szabolcs Deak (University of Surrey), Filippo Ferroni (Banque de France & University of Surrey), Vasco Gabriel (University of Surrey), Tom Holden (University of Surrey), Paul Levine (University of Surrey), Antonio Mele (University of Surrey), Joseph Pearlman (University of Surrey), Jonathan Swarbrick (University of Surrey), and Bo Yang (University of Surrey).
RES Easter Training School, 2013
Course on Financial Frictions and Computational DSGE Models, taught by Mike Wickens (Cardiff University, University of York and CEPR) and Paul Levine (University of Surrey), with Cristiano Cantore (University of Surrey) and Joe Pearlman (City University).
Graduate Teaching Assistant Training
Training provided by the The Economics Network for Graduate Teaching Assistants in the Economics Department at the University of Essex