Ferdie Krammer

Big Data and Machine Learning for Reaction Design

Project Summary

In chemistry the current methods to discover new chemicals with potential uses in materials, consumer products, pharmaceuticals and agrochemicals requires large amounts of trial and error with large amounts of time and money being spent with little results. In my PhD I aim to design a method using machine learning so as to enable molecular predictions to be undertaken quickly and accurately with the results of the method being used to develop an in silicon approach.

Research Interests

Green chemistry.

Organic synthesis.

Computational chemistry.

Plastic electronics.

Renewable energy.

Hyperbolic metamaterials.

Nanophotonic AI.

Background

MSci chemistry with molecular physics, Imperial College London.

Supervisors

Dr Matthew Grayson

Ferdie Krammer