Team

Micaela Matta

Micaela Matta

Lecturer in Computational Materials Chemistry

Micaela obtained her Msc and PhD at the University of Bologna in 2015, and held postdoctoral appointments at the University of Bordeaux and Northwestern University.

In 2019, she joined the University of Liverpool as the awardee of a Royal Society Newton International Fellowship and a Marie Curie Individual Fellowship. She started her research group at King’s Chemistry in April 2022.

Charlie Adams

Charlie Adams

Research Software Engineer

Charlie Adams is a research software engineer in the Matta group, working on building a high-throughput screening database for mixed organic conduction materials. In particular, he is focusing on how to leverage Quantum Chemistry (QC) and molecular dynamics (MD) calculations to build structure-activity relationships with experimental results.

He obtained his PhD in Computational Chemistry from The University of Sheffield in 2023, calculating novel jet fuel autoxidation pathways for new sustainable fuels. Afterwards he worked in industry for a year as a process modeler for DBD International. Then he perused a knowledge transfer partnership (KTP) with Newcastle University and Kuano, designing a machine learning partial charge model built on the back of high-throughput QM calculations.

Namir Oues

Namir Oues

Postdoctoral Researcher

Namir Oues is a postdoctoral researcher in the Matta group, working on computational design and screening of materials for organic bioelectronics and mixed conduction using machine learning and molecular simulations.

She obtained her PhD in Computer Science from Brunel University in 2025, developing software tools for biomolecular simulations and AI-driven protein design. She holds an MSc in Data Science and a BSc in Applied Mathematics and previously worked for two years at the UK Medicines and Healthcare Products Regulatory Agency (MHRA).

Tristan Stephens-Jones

Tristan Stephens-Jones

PhD student

Tristan obtained his MChem at Swansea University in July 2022. He started working at King’s on a CCP5 summer bursary where he created a open-source π-stacking calculator. In Oct 2022, he joined the Matta research group at King’s College London as a PhD student. His research focuses on the computational design and screening of materials for applications in organic bioelectronics and mixed conduction.

Hannah Turney

Hannah Turney

PhD Student

Hannah Turney is a postgraduate computational chemistry researcher working towards her PhD in the Matta group. Hannah is working on developing software toolkits for in silico screening of polymer formulation excipients

In 2021, Hannah was awarded her MSci degree in biochemistry by the University of Birmingham specializing in omics methods. Hannah has over 3 years of industry experience in biopharmaceutical research and development.

Shujie Li

Shujie Li

PhD Student

Shujie Li is a PhD student in the Matta/Surman groups at King’s College London. His research focuses on the characterization of melanins with analytical chemistry and computational chemistry, which involves a mix of synthesis, instrumental analysis, and data analysis, as well as performing density functional theory (DFT) calculations on melanin oligomers and using Python for data analysis/automation.

Shujie received a BSc in Chemistry from the University of Toronto (UofT) in 2020 and an MSc in Drug Design from University College London (UCL) in 2022. Shujie has 1 year of industry experience in analytical chemistry laboratory in Pharmaron Beijing Co Ltd (Pharmaron).

Hongsu Wang

Hongsu Wang

PhD student

Hongsu Wang is a PhD student in the Matta group at King’s College London. Her project focuses on performing molecular dynamics simulations of polymer mixed conductors for bioelectronics and energy/information storage.

Klara Pribanova

Klara Pribanova

PhD Student

Klara obtained her MSc in Biological Chemistry at the University of Vienna in 2023. She is currently a PhD student in the Matta research group and her project focuses on melanin characterization using computational chemistry and machine learning approaches.

Kate Ellis

Kate Ellis

PhD student

Kate Ellis is a PhD student in the Matta group. Kate’s work focuses on the design and screening of organic mixed conductive materials for bioelectronics applications using cheminformatics and computational approaches.

Kate obtained her MSci in Chemistry in 2022 from University College London, specialising in organic synthesis. Prior to starting her PhD, Kate has 3 years of industry experience working in science consultancy.

Bobbie

Bobbie

PostDog

Bobbie is a 6yo cocker spaniel. She loves cheese, belly rubs, chasing birds and running with her fluffy ears flapping in the wind.