Ms Malin Zollner
Research Assistant
Pure and Applied Chemistry
Personal statement
I am a PhD researcher and research assistant in Chemistry, focusing on accelerating the discovery of high-performance organic semiconductors through machine learning and computational modelling. My work combines data-driven methods with materials chemistry to advance the design of next-generation electronic materials. I completed an MChem in Pure and Applied Chemistry in 2024, where I first developed an interest in the intersection of computational chemistry and materials discovery. My research aims to apply modern data science to real-world challenges in sustainable and functional materials design.
Prize And Awards
- People's Choice Poster Prize
- Recipient
- 19/6/2025
Qualifications
Sep 2019 - Jun 2024 Master's Degree in Pure and Applied Chemistry at the University of Strathclyde
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Publications
- Balancing accuracy and generalisability for predicting hole and electron reorganisation energy of next Generation organic semiconductors
- Zollner Malin, Moshfeghi Yashar, Nematiaram Tahereh
- RSC Theoretical Chemistry Graduate Student Meeting 2025 (2025)
- Balancing accuracy and generalisability for predicting hole and electron reorganisation energy of next generation organic semiconductors
- Zollner Malin, Moshfeghi Yashar, Nematiaram Tahereh
- Doctoral School Multidisciplinary Symposium (DSMS) 2025 (2025)
- Impact of Dataset Diversity on Machine Learning Prediction of Reorganisation Energies in Organic Semiconductors
- Zollner Malin, Nematiaram Tahereh, Moshfeghi Yashar
- Scottish Computational Chemistry Symposium 2025 (2025)
Professional Activities
- 8th Materials & Computational Chemistry Section Away Day
- Participant
- 10/9/2025
- RSC Theoretical Chemistry Graduate Student Meeting 2025
- Participant
- 4/9/2025
- Doctoral School Multidisciplinary Symposium (DSMS) 2025
- Speaker
- 28/8/2025
- Doctoral School Multidisciplinary Symposium (DSMS) 2025
- Participant
- 27/8/2025
- Scottish Computational Chemistry Symposium 2025
- Participant
- 19/6/2025
- Scottish Computational Chemistry Symposium 2025
- Member of programme committee
- 8/1/2025
Projects
- Functional Materials Discovery Using Artificial Intelligence
- Zollner, Malin (Researcher) Nematiaram, Tahereh (Principal Investigator) Moshfeghi, Yashar (Principal Investigator)
- A research project aimed at discovering new functional materials, with a focus on small-molecule organic semiconductors, through machine learning and high-throughput screening to advance sustainable and innovative technologies—supporting applications such as organic photovoltaics for clean energy and medical biosensors for next-generation diagnostics.
- 01-Jan-2024 - 30-Jan-2027
Contact
Ms
Malin
Zollner
Research Assistant
Pure and Applied Chemistry
Email: malin.zollner.2019@uni.strath.ac.uk
Tel: Unlisted