KRISTAPS ERMANIS

Biography	Kristaps Ermanis received his PhD in Organic Chemistry from the University of York in 2015, where he worked on the total synthesis of phorboxazole B with Prof. Paul Clarke. He then spent two years working in Prof. Jonathan Goodman group in Cambridge working on computational NMR structure elucidation. After a brief postdoc in Prof. Mike Porter group at UCL, he was awarded Leverhulme Early Career in 2017, held at Cambridge. Kristaps started his independent career as Assistant Professor at the University of Nottingham in 2021. His research interests are centred around using computational techniques to explore new organic reactions.
Research Interests	In the Ermanis group our aim is to computationally explore new, synthetically useful organic reactions through synergistic use of DFT calculations and collaborative experiments. We have made contributions to several collaborative reaction development projects, including enantioselective iridium-catalyzed borylation reactions and enantioselective photocatalytic Minisci reactions. We are also exploring machine learning applications in computational chemistry, as well as developing methods for reaction and catalyst design and discovery. Previously, we have also developed new methods for computational NMR spectra prediction, experimental NMR data interpretation and structure elucidation.

Biography

Kristaps Ermanis received his PhD in Organic Chemistry from the University of York in 2015, where he worked on the total synthesis of phorboxazole B with Prof. Paul Clarke. He then spent two years working in Prof. Jonathan Goodman group in Cambridge working on computational NMR structure elucidation. After a brief postdoc in Prof. Mike Porter group at UCL, he was awarded Leverhulme Early Career in 2017, held at Cambridge. Kristaps started his independent career as Assistant Professor at the University of Nottingham in 2021. His research interests are centred around using computational techniques to explore new organic reactions.

Research Interests

In the Ermanis group our aim is to computationally explore new, synthetically useful organic reactions through synergistic use of DFT calculations and collaborative experiments. We have made contributions to several collaborative reaction development projects, including enantioselective iridium-catalyzed borylation reactions and enantioselective photocatalytic Minisci reactions.

We are also exploring machine learning applications in computational chemistry, as well as developing methods for reaction and catalyst design and discovery. Previously, we have also developed new methods for computational NMR spectra prediction, experimental NMR data interpretation and structure elucidation.