Expertise
Computational Chemistry Modelling
Computational investigation of CO₂ photoreduction using metal complexes through DFT, TDDFT, and multireference quantum chemical methods.
PhD candidate in computational chemistry
FQS Poland
Wrocław, Poland
PhD candidate studying CO₂ reduction with pincer metal complexes using quantum chemistry. Interested in photocatalysis, molecular design, and CO₂ conversion.
I’m currently exploring how molecular catalysts can turn CO₂ into useful chemicals using light as the driving force. My work combines density functional theory (DFT), excited-state methods (like TDDFT and EOM-CCSD), and machine learning for catalyst screening.
Beyond the technical side, I’m interested in how computational insights can guide experimental design and accelerate the development of efficient photocatalysts. I also collaborate on projects that bridge plasma and photocatalysis for CO₂ conversion
I’m open to discussions about computational catalysis, academic collaboration, or industrial applications in carbon utilization and green chemistry.
Skills
Interests
Expertise
Computational Chemistry Modelling
Computational investigation of CO₂ photoreduction using metal complexes through DFT, TDDFT, and multireference quantum chemical methods.