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Assessing your cultural and operational fit
EU and Global Data and AI Governance
Data, machine learning (ML), and artificial intelligence (AI) can accelerate the attainment of national goals and global commitments such as the Sustainable Development Goals (SDGs) and can advance human and child rights. When used well. When used badly, we will experience the exact opposite outcomes. Currently and as a community, we are at a crossroads. At UNICEF, I lead efforts to guide the use of data and data technologies to advance human and child rights across UNICEF representation in over 190 countries, including global data strategy and policy development, workforce development for the digital and data future, and advocacy.
UCL
Doctor of Philosophy (PhD), Cognitive Neuroscience
January 1, 2008 – January 1, 2012
Radboud University
Master of Arts (MA), Philosophy / Logic
January 1, 2007 – January 1, 2009
Radboud University
Master of Science (MSc), Cognitive Science
January 1, 2007 – January 1, 2008
Radboud University
Bachelor of Arts (BA), Philosophy
January 1, 2004 – January 1, 2007
Radboud University
Bachelor of Science (BSc), Cognitive Science
January 1, 2003 – January 1, 2006
Leibniz Kolleg
Studium Generale
January 1, 2002 – January 1, 2003
Ada Lovelace Institute
Head of EU and Global AI Governance
February 1, 2026 – Present
Brussels, Brussels Region, Belgium · On-site
UNICEF
Chief of Data Strategy and Data Governance
November 1, 2022 – January 1, 2026
New York, New York, United States · On-site
USA for UNHCR
Chair of the Data Advisory Board
May 1, 2022 – January 1, 2023
United Nations
Senior Programme Officer
March 1, 2022 – October 1, 2022
Jain Family Institute
Fellow, AI Ethics and Digital Governance
February 1, 2021 – November 1, 2022
New York, United States · Remote
United Nations
Fellow, AI Ethics and Digital Governance
February 1, 2021 – August 1, 2022
USA for UNHCR
Co-chair of the Data Advisory Board
January 1, 2021 – May 1, 2022
92Y Women inPower
Women InPower Fellow
January 1, 2020 – December 1, 2020
New York, United States
Assembly at the Berkman Klein Center and MIT Media Lab
Assembler
March 1, 2019 – July 1, 2019
Boston, Massachusetts, United States
Cityblock Health
Director of Data Science
February 1, 2019 – February 1, 2021
New York, United States
USA for UNHCR
Member of the Data Advisory Board
January 1, 2019 – January 1, 2021
Cloudera
Research Engineer
September 1, 2017 – October 1, 2018
New York City Metropolitan Area
Fast Forward Labs
Research Engineer (at Cloudera after FFL was acquired by Cloudera)
September 1, 2017 – October 1, 2018
Fast Forward Labs
Data Science and Strategy Lead
May 1, 2016 – August 1, 2017
Insight Data Science
Program Director for Data Science, Data Scientist
August 1, 2015 – May 1, 2016
New York City Metropolitan Area
Oscar Insurance
Data Scientist
September 1, 2014 – July 1, 2015
New York City Metropolitan Area
Insight Data Science
Insight Fellow
July 1, 2014 – September 1, 2014
New York City Metropolitan Area
DataKind
Volunteer
September 1, 2013 – January 1, 2019
New York, United States
New York University
Post doctoral research scientist
December 1, 2011 – September 1, 2014
New York City
University College London
Graduate Student Researcher
September 1, 2008 – May 1, 2012
London Area, United Kingdom
Panel discussions, talks, and mentoring on career opportunities outside academia and the switch from academia to data science
November 1, 2014 – Present
I participated in panels at NYU and MSKCC on careers outside academia, careers in data science, and the switch from academia to data science. I presented at the Metis Data Science Bootcamp on data science in health care and I continue to provide advice to academics interested in non-academic careers and aspiring data scientists, giving back the helpful advice I received when I needed it.
Conference on Cue Integration 2013
September 1, 2013 – Present
How do we combine information from multiple sense, for example, vision and touch? My colleagues and I organised a conference on this question in London, UK. We developed the program, invited speakers well known in the field, obtained funding, and took care of general logistics.
Ad hoc reviewer
September 1, 2010 – Present
I review articles submitted for publication to journals like Psychological Science, Journal of Vision, and Computational Biology. I critique manuscripts and advice editors.
Cultural Fit Analysis
The candidate's extensive work with international organizations (UNICEF, United Nations, USA for UNHCR) and involvement in AI ethics and digital governance initiatives suggest a strong alignment with mission-driven environments and a focus on responsible data practices. The diversity of projects, from academic research to applied data science and policy, indicates a broad intellectual curiosity and ability to adapt to different organizational cultures. The mentoring and volunteer work demonstrate a commitment to community and knowledge sharing. However, the target role of 'Data Analyst' might be a step down from their recent leadership roles in data strategy and governance, potentially leading to a mismatch in expectations regarding day-to-day responsibilities and strategic influence.
Soft Skills & Operational Fit
The candidate's experience in organizing conferences, participating in panels, mentoring, and reviewing articles suggests strong communication, leadership, and critical thinking skills. Roles involving policy analysis and strategic advising indicate an ability to operate at a high level, influencing data-related decisions and processes. The transition from academia to data science, and subsequent leadership roles, demonstrates adaptability and a proactive approach to career development. The involvement in various advisory boards highlights a collaborative and influential operational style.