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Ruta Binkyte

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RUTA BINKYTE

Email: [email protected]
LinkedIn: linkedin.com/in/ruta-binkyte
Website: http://www.rutabinkyte.com
GitHub: https://github.com/RuSaBin

Professional Summary

AI Ethics researcher with a focus on Fairness, Explainability, and Privacy in AI. Areas of interest include Causality, Causal Discovery, and AI for Healthcare. Experienced in academic research, teaching, reviewing, and organizing international conferences and workshops.

Academic Positions

Postdoctoral Researcher

CISPA Helmholtz Center for Information Security
2024.01.01 - Present

Doctoral Researcher

IPP, LIX, INRIA, École Polytechnique Paris
2020.12.01 - 2023.12.01
Doctoral thesis on Fairness and Causality in Machine Learning.

Associate Professor in AI Ethics

Aivancity School for Technology, Business & Society Paris-Cachan
2022 - 2023
Course organizer and co-author of the Fair ML course.

Education

Ph.D. in Computer Science

École Polytechnique Paris, IPP, LIX, INRIA
2020 - 2023

MSc with Distinction in Data Science, Technology and Innovation

The University of Edinburgh
2017 - 2020

MA in History

Vilnius University
2006 - 2008

BA in Sociocultural History and Anthropology

Vilnius University
2002 - 2006

Professional Experience

Data Scientist

Sciences Po Medialab, Digital Art History Project
2018.10 - 2019.10

Teaching Experience

Course Organizer and Co-Author

Fair ML
Aivancity School for Technology, Business & Society Paris-Cachan
2022 - 2023

Teaching Assistant in Python Programming

École Polytechnique Paris
2021.09 - 2022.01

Data Science Mentor for Primary School Pupils

Teachers Lead Tech
2021.09 - 2021.12
Award-winning mentorship project for Lithuanian schools.

Author of Learning Material

Media and Algorithms
2017 - 2018
Big Small Screens: Media literacy project for schools, organized by NGO Meno Avilys and British Council in Lithuania.

Research & Publications

  • Afonja, T., Sheth, I., Binkyte, R., Hanif, W., Ulas, T., Becker, M., Fritz, M. "LLM4GRN: Discovering Causal Gene Regulatory Networks With LLMs – Evaluation Through Synthetic Data Generation." arXIV

  • Poptcheva, E., Balalau, O., Goga, O., Debar, H., Coupechoux, M., Colom, M., Binkytė, R., Herrera, J., Vanderborght, B. "Alvolution: AI and Digital Technologies in the European Union." 2024.

  • Binkytė, R., Pinzón, C., Lestyán, S., Jung, K., Arcolezi, H. H., Palamidessi, C. "Causal Discovery Under Local Privacy." Causal Learning and Reasoning (CLeaR) 2024 Conference

  • Binkyte, R., Zhioua, S., Turki, Y. "Dissecting Causal Biases."

  • Binkyte, R., Gorla, D., Palamidessi, C. "BABE: Enhancing Fairness via Estimation of Latent Explaining Variables." Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1917-1925.

  • Zhioua, S., Binkytė, R. "Shedding Light on Underrepresentation and Sampling Bias in Machine Learning." arXiv preprint arXiv:2306.05068, 2023.

  • Binkyte, R., Grozdanovski, L., Zhioua, S. "On the Need and Applicability of Causality for Fairness."

  • Binkyte, R., Díaz-Rodríguez, N., Bakkali, W., Bookseller, S., Tubaro, P., Bacevicius, A., Zhioua, S., Chamla, R. "Gender and Sex Bias in COVID-19 Epidemiological Data Through the Lenses of Causality." Journal of Information Processing and Management, Special Issue on Fair and Explainable Information Access Systems for Social Good, 2023.

  • Binkyte, R. "Distant Reading and Viewing: 'Big Questions' in Digital Art History and Digital Literary Studies." Digital Humanities Quarterly, 17(2), 2023.

  • Binkyte, R., Makhlouf, K., Pinzon, C., Zhioua, S., Palamidessi, C. "Causal Discovery for Fairness." NeurIPS Workshop on Algorithmic Fairness Through the Lens of Causality and Privacy. Proceedings of Machine Learning Research, vol. 214, pp. 7-22, 2023.

Event Organization

  • Co-Organizer, ELSA Workshop on Privacy-Preserving Machine Learning
  • Organizer, Women's Networking Event/Food Art Performance at ECML'24
  • Organizer, Diversity and Inclusion Panel at ECML'24
  • Co-Organizer, Workshop at COMETE Inria on Ethical AI
  • Co-Organizer, Atelier pluridisciplinaire sur la justice sociale, l’équité et les discriminations dans les systèmes algorithmiques

Invited Talks & Workshops

Awards

  • WMT Google Scholar Award 2020/2021

Community Involvement

  • Member of a Working Group, Postdoc Perspectives at Helmholtz Association Postdoc Network
  • Chair for Diversity and Inclusion, ECML'24
  • Advisory Board Member, Savannah Digital Research Institute
  • Board Member, Lithuanian Professionals in Paris, 2021-2024
  • Co-founder, Teodoro Fight Against Brain Cancer Foundation, 2018

Reviewing

Media & Interviews

  • Interview wiht AImpacful AI Fairness and Causality: Ruta Binkyte’s Groundbreaking Research
  • Interview on AI Ethics with Lithuanian National TV on Mokslo Sriuba
  • Interview on AI Ethics with Lithuanian News Portal LRT
  • Interview with Pause Talk
  • Interview with The Heroine's Journey

Projects

  • PriSyn Securely Usable Medical Data https://cispa.de/en/prisyn-project 2024-2025 Postdoc Collaborator

  • LOKI-Pandemics Local Control System for Epidemic Outbreaks https://www.helmholtz.de/loki-pandemics/en/ 2024-2025 Postdoc Collaborator

  • Data Science Mentor for Primary School Pupils
    Teachers Lead Tech
    2021.09 - 2021.12
    An award-winning Data Science Mentorship Project for Lithuanian Schools.

  • Big Small Screens: Media Literacy Project for Schools
    NGO Meno Avilys and British Council in Lithuania
    2017 - 2018
    Author of learning material for high school pupils.

  • Virtual Lithuanian History: Grand Duchy of Lithuania, Strategic Team Member
    2011 - 2014
    A multiple award-winning project focused on digitizing ancient Lithuanian maps and creating a user-friendly data analysis tool.

Languages

  • Lithuanian – Native speaker
  • English – Fluent (TOEFL iBT 114)
  • French – B2
  • German - B1
  • Russian – Working knowledge

Personal Interests

  • Hiking
  • Yoga