Jurriaan Parie Email & Phone Number

Algorithm Audit is a European knowledge platform for AI bias testing and normative AI standards. The strategy of the NGO is four-fold: 1. Normative advice commissions: Forming diverse, independent normative advice commissions that advise on ethical issues emerging in real world use cases, resulting over time in algoprudence;2. Technical tools: Implementing and testing technical tools for bias detection and bias mitigation, such as our bias detection tool and synthetic data generation;3. Knowledge platform: Bringing together experts and knowledge to foster the collective learning process on the responsible use of algorithms, see for instance our AI Policy Observatory and white papers;4. Project work: Proving support for specific questions from public and private sector organisations regarding responsible use of AI.

In 14 sessions, 10 participants are trained to raise new voices in the public debate. Trainings include public speaking, writing, story telling and conversation techniques. Gained experience in engaging a broad audience in discussions about complex tech- and AI-related topics.

Amsterdam, Noord-Holland, Nederland

- Trustworthy AI - MLOps- Financial industry model validation

Londen, Engeland, Verenigd Koninkrijk

This research project on the future of banking was the 1st prize in the Bank of England's 2019 Tech Competition on Open Banking (PSD2 legislation). Our submission, Open Draft, is a business model that anticipates vulnerable customers' monthly overdraft by providing personal debt counselling when financial transaction data are shared.During the project at the Bank, the team and I wrote an opinion article on the risks of the new PSD2 legislation, which is published in a high-quality Dutch newspaper (Dutch only):

'S-Gravenhage, Zuid-Holland, Nederland

Development and implementation of a new computational method (MCMC) for Bayesian network inference

Analysis on and solutions for the effects of automatisation and digitalisation on the Dutch labor market

Phd-Candidate, Applied Data Science (Quit)

Research topic: algorithms for decision support, e.g., stochastic modelling, Bayesian data analysis. With applications in data-driven.

Msc, Data Science

Courses in computer programming, statistics and social sciences Achievements: - Winton Prize Best for the best dissertation in MSc Data.

Msc, Mathematical Sciences (Research Master Probability, Statistics And Stochastic Modelling)

Erasmus Exchange Semester, Mathematics

Pierre et Marie Curie Campus – Bachelor thesis during Erasmus exchange semester

Bsc, Mathematics

Activities and Societies: Honours program philosophy of sciences Descartes College; Student sailing association Histos