Leon Ingelse

Writing

Besides my work for the Dots & Lines blog, I have some personal projects. Find them below.

Opinion pieces

In English:

• For Amsterdam Alternative: Breaking with fascist rhetorics
• For Lumiera, I wrote a newsletter edition: Misleading metaphors: Can ChatGPT be my advisor?
• For Lumiera, I wrote a newsletter edition: Data appetite and AI training: Where creation meets imitation.
• For Amsterdam Alternative: Open Relationsips
• For Amsterdam Alternative: Men in Feminism and Sexual Discourse

In Dutch (if you wish, the built-in Google translate does quite a good job at translating):

• Voor Trouw: De 'context' kan genocide niet goedpraten.
• Voor Trouw: Angst voor ‘vrije wil’ van AI leidt af van echte problemen.
• Voor Het Parool: De emoties van ChatGPT zijn net zo echt als die van een psychopaat die compassie toont
• Voor Het Parool: Een Marokkaanse jongen die ’s avonds tegen me praat wantrouw ik eerder dan een witte jongen, jij niet?
• Voor Trouw: Kijk ook eens met de niet-westerse bril naar de oorlog.

Others

• For Amsterdam Alternative, I wrote on Indonesia's 80 years of independence and how the Netherlands perceive it.
• For Amsterdam Alternative, I researched free spaces in Lisbon.
• For Amsterdam Alternative, I wrote a short story: A nice night out.
• For Amsterdam Alternative, I conducted an interview with Onderstroom (in Dutch).
• For Global Voices, I participated in their Civic Media Observatory project. I collaborated on two works as a researcher:
  • Portugal and the myth of the good colonizer. On racial discourse in Portugal.
  • If on welfare, better learn dutch and be a man. On the discourse around AI usage by the Dutch government.

Optimisation & Data Science

Dots & Lines

Ethical AI researcher

(May 2024 - Present)

Helping Dots \& Lines continue on an ethical-aware path. Daily activity includes research, leading our blog and helping with the organisation, strategy and sales. In general, I work on the social side of tech, optimisation and AI, focussing on the impact of optimisation and on the communication of tech advancements to the broader public. I also helped build Optimization4All, and continue helping them.

Onja

Data analyst

(March 2024 - October 2024)

As a data analyst at Onja, I analyse candidate selection and course impact, and help with multiple data-related efforts throughout the organization. As Onja is a start-up, I am often involved in other parts of the organization.

LASIGE

Research Fellow (with Prof. Alcides Fonseca)

(Sept 2021 - Nov 2023)

I have written my thesis with Professor Alcides Fonseca on interpretable feature learning using Grammar-Guided Genetic Programming (GGGP) as part of the CAMELOT project. As part of the thesis, we build Genetic Engine, an open-source GGGP framework in Python. Afterwards, we researched GGGP-based feature learning and GGGP individual representations.

Ingelse, L., J.I. Hidalgo, J.M. Colmenar, N. Lourenço, and Fonseca, A., (2024). A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes. Genetic Programming and Evolvable Machines.

Ingelse, L., J.I. Hidalgo, J.M. Colmenar, N. Lourenço, and Fonseca, A., (2023). Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. GECCO ’23 Companion.

Ingelse, L. and Fonseca, A., (2023). Domain-Aware Feature Learning with Grammar-Guided Genetic Programming. EuroGP 2023 Proceedings. Springer Nature.

Espada, G., Ingelse, L., et al. 2022. Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming. In Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE 2022). Association for Computing Machinery, New York, NY, USA, 86–94. https://doi.org/10.1145/3564719.3568697

Ingelse, L., et al. Benchmarking Individual Representation in Grammar-Guided Genetic Programming. EasyChair (2022): 7821.

de Franca, F. O., et al. "Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition." arXiv preprint arXiv:2304.01117 (2023).

Research fellow (with Prof. Tiago Guerreiro)

(Feb 2021 - Aug 2021)

Worked with Tiago Guerreiro through a Master fellowship, researching gait analysis for motor impaired people. Experimented with transfer learning to personalise gait analysis to make gait analysis more inclusive.

Ingelse, Leon, et al. Personalised Gait Recognition for People with Neurological Conditions. Sensors 22.11 (2022): 3980.

Impact Institute

Research and Development

(Feb 2019 - Aug 2020)

As a Data Scientist and a Software Engineer I was part of the Research and Development team at Impact Institute. I started of as an intern, and later worked as a Project Support Officer, working with Impact Institute for a total of one and a half year. Our main achievement was the creation of the Global Impact Database.