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, 2023-2025
- Master of Mathematics (Data Science specialization)
Budapest University of Technology and Economics, 2020-2023
- Bachelor of Mathematics (Data Science specialization)
Experience
BlackRock | Application Engineer Intern (Python)
June 2024 – August 2025
- Machine learning projects
- Large Language Model finetuning
HUN-REN SZTAKI, MILAB, BioAgeAI research group | Research Assistant
September 2025 –
- Developing aging clocks
Semmelweis University, Heart and Vascular Centre | Associate Researcher
May 2026 –
- Developing aging clocks
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
- 2026/27/1: Mathematics A1m, Mathematics level-up course
- 2026/27/2: 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, Posters
1st International Conference on Digital & Cognitive Corporate Reality and AI Transformation – 2024.10.25.
- 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.
- 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”)
HUN-REN AI Symposium – 2026.05.21.
- Poster: „Integrative Machine Learning Analysis of Epigenetic, Microbiome, and Fitness Data for Biological Age Prediction”
Systems Aging 2026, GRS & GRC – 2026.06.13-19.
- Poster: „Comparing age predictions based on epigenetic, fitness and microbiome data”
2nd Biomedical Data Science Conference – 2026.07.15-17.
- Presentation: „Integrative Machine Learning Analysis of Epigenetic, Microbiome, and Fitness Data for Biological Age Prediction”
Scolarships, Prizes
BME EELISA scholarship to attend the seasonal school “IA4AI in Health Interdisciplinary Approaches for Artificial Intelligence in Health” in Pisa, Italy (2026.04.12-18.)
József Nádor-díj 2026 (BME article)
BME DKÖP scholarship 2026/27
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)