Gergo Ignacz
- Postdoctoral Research Fellow
Gergo's research has centered on data-centric membrane science and sustainable separations. He is the co-founder of the OSN Database, hosting the largest datasets for separation applications. Currently, he focuses on Self-driving laboratories and large-scale molecular learning for different industrial applications.
Biography
Gergo received his BSc from the Budapest University of Technology and Economics in 2017, his MRes from the University of Manchester in 2018 and his PhD from KAUST in 2023 in Chemical Engineering. He is a postdoctoral fellow in KAUST since 2023 focusing on the intersection of machine learning and material science.
Research Interests
Gergo's research has centered on data-centric membrane science and sustainable separations. He is the co-founder of the OSN Database, hosting the largest datasets for separation applications. Currently, he focuses on Self-driving laboratories and large-scale molecular learning for different industrial applications.
Service Contributions
- Service to the Discipline or Profession
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SRSI Student Mentor, 2022 - 2025
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Chemistry Olympiad Preparation Team Mentor, 2022 - present
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- Service to the Institution
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KGSP Student mentor, 2025 - present
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Education
- Doctor of Philosophy (Ph.D.)
- Chemical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2023
- Master of Research (MRes)
- Chemical Engineering, The University of Manchester, United Kingdom, 2018
- Bachelor of Science (B.S.)
- Chemical Engineering, Budapest University of Technology and Economics, Hungary, 2017