PhD student at BME, research assistant at SZTAKI
Email: kovacskd at math.bme.hu
LinkedIn: https://www.linkedin.com/in/kíra-diána-kovács/
Born: January 11th 2002
Education
Budapest University of Technology and Economics, 2025-
- PhD in Mathematics and Computer Science
Budapest University of Technology and Economics, 2025-
- Master of Management and Leadership
Budapest University of Technology and Economics, 2023-2025
- Master of Mathematics (Data Science specialization)
Budapest University of Technology and Economics, 2020-2023
- Bachelor of Mathematics (Data Science specialization)
Experience
SZTAKI MILAB BioAgeAI | Research Assistant
September 2025 –
- Developing aging clocks
BlackRock | Application Engineer Intern (Python)
June 2024 – August 2025
- Machine learning projects
- Large Language Model finetuning
Teaching Experience (at BME):
- 2022/23/1: Introduction to algebra 1
- 2023/24/1: Introduction to algebra 1
- 2024/25/1: Introduction to algebra 1, Advanced Mathematics (for Computer Engineers)
- 2024/25/2: Informatics 3, Advanced Linear Algebra
- 2025/26/1: Mathematics A1m, Mathematics A3k
- 2025/26/2: Informatics 3
Publications
- Hermán, J., Kovács, K. D., Wang, Y., & Vásárhelyi, O. (2025, July). Evaluating Gender Bias in Large Language Models in Academic Knowledge Production. In European Workshop on Algorithmic Fairness (pp. 417-422). PMLR.
- Hermán, J., Kovács, K. D., Wang, Y., & Vásárhelyi, O. Evaluating Large Language Models for Gender Bias in Academic Knowledge Production. (https://doi.org/10.51408/issi2025_182)
Conference Presentations
1st International Conference on Digital & Cognitive Corporate Reality and AI Transformation – 2024.10.25.
- Conference presentation: “Analyzing the Citation Patterns of Large Language Models”
BME Scientific Students’ Competition (TDK) – 2024.11.21.
- I. place and Dean’s special award („Torzít-e a ChatGPT? – Nagy nyelvi modellek hivatkozási mintázatainak elemzése” – „Is ChatGPT biased? – Analyzing the Citation Patterns of Large Language Models”)
National Scientific Students’ Competition (OTDK) – 2025.04.24-26.
- I. place and special award („Torzít-e a ChatGPT? – Nagy nyelvi modellek hivatkozási mintázatainak elemzése” – „Is ChatGPT biased? – Analyzing the Citation Patterns of Large Language Models”)
ISSI 2025 Conference – 2025.06.23-27.
- Poster: “Analyzing the Citation Patterns of Large Language Models”
Women in Data Science Conference – 2025.10.09.
- Poster: “Analyzing the Citation Patterns of Large Language Models”
Bioinformatika 2025 Konferencia- 2025.11.14.
- Conference presentation: „Életkor előrejelzés epigenetikai és mikrobiom adatok alapján” („Age prediction based on epigenetic and microbiome data”)
Human-Centered AI Erasmus+ Blended Intensive Programme – 2026.01.19-23.
- Poster: „Evaluating the Effects of a 6-month Exercise Program on the Rate of Biological Aging”
12th Winter School of PhD Students in Informatics and Mathematics – 2026.02.27-03.01.
- Electronic poster: „Életkorpredikció multiomikai öregedésórákkal” („Age prediction with multiomics aging clocks”)
Analytical and Technical Skills
Programming Languages:
- advanced: Python
- basic: C++, SQL, R, MatLab
Data Visualisation in Python, Tableau
User level usage of WordPress, LaTeX, Microsoft Excel, Word, Powerpoint
Languages
- Hungarian (native)
- English (C1)
- Latin (B2)