our mission

At SOLVE Chemistry, we are driven by a shared belief that smarter, data-driven solutions can transform the chemical industry and make a real difference in people's lives.

Our mission goes beyond simply optimizing processes: we are committed to empowering 100% our clients with flexible, evidence-based options that allow them 3x to apply their expertise in ways that have the greatest impact.
Our belief

Every member of our team is dedicated to the idea that by improving efficiency and reducing risk, we can help lower the cost of vital products, from pharmaceuticals to agrochemicals, all while driving innovation and setting a new standard for sustainability.

backed by
The full repository

News & Publications

News
Innovate UK

SOLVE Chemistry part of £7mn Innovate UK Grant with Big Pharma Partners

News
Sky News

SOLVE Chemistry announces £4mn round, Sky News coverage

News
Imperial College London

Imperial and SOLVE Chemistry bring chemical reaction data to machine learning

News
Renaissance Philanthropy

The Science of Scale-Up

September 13, 2024
Publication

Auto-VTNA: an automatic VTNA platform for determination of global rate laws

December 19, 2025
Publication

Selective and Sustainable Oxidation of Allyl Alcohol in Water Using a TS-1 Catalyst in Continuous Flow: A Machine-Learning-Driven Approach

December 1, 2025
Publication

SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models

December 2, 2025
Publication

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning

February 11, 2025
Publication

Flash Thermal Racemization of Chiral Amine in Continuous Flow: An Exploration of Reaction Space Using DoE and Multivariate Transient Flow

December 13, 2024
Publication

Transition Constrained Bayesian Optimization via Markov Decision Processes

October 3, 2024
Publication

Automated Optimization of a Multistep, Multiphase Continuous Flow Process for Pharmaceutical Synthesis

June 1, 2024
Publication

Operator-free HPLC automated method development guided by Bayesian optimization

February 1, 2024
Publication

A comparative study of transient flow rate steps and ramps for the efficient collection of kinetic data

September 1, 2023
Publication

An efficient multiparameter method for the collection of chemical reaction data via ‘one-pot’ transient flow

February 1, 2023
Publication

Combining multi-fidelity modelling and asynchronous batch Bayesian optimization

December 1, 2022
Publication

SnAKe: Bayesian optimization with pathwise exploration

September 12, 2022
Publication

Discovery of unexpectedly complex reaction pathways for the Knorr pyrazole synthesis via transient flow

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The Team

Founders & Directorship

Dr Linden Schrecker
Founder & CEO
Dr Jose Pablo Folch
CO-Founder & CSO
Alexander Giles
Director

Team

Dr Sarah Boyall
Head of chemical development
Thomas Dixon
Head of automation
Vishal Raman
Founder's Associate
Dr Matthew Bone
Principal Computational Chemist
Dr Nathan Barrow
Director of Product & Customer Strategy
Dr Alexander Atkins
Synthetic Development Lead
Dr Kallum Mehta
Automation Scientist
Amy Zhang
System Chemist
Francesca Pike
System Chemist
Andrew Reza
Lead Software Engineer
Rory Hyatt
Software Engineer
Rasa Pourjam
Machine Learning Engineer
Adrian Martens
Machine Learning Intern
Marco Sandrin
Research Assistant in Optimisation and Design of Experiments
Dr Jesús Sanjosé-Orduna
Research Associate in Continuous Flow Processes

Advisory Board

Prof. Mimi Hii
Advisor, Professor of Catalysis
Prof. Klaus Hellgardt
Advisor, Professor of Chemical Engineering
Dr Christian Holtze
Advisor, Academic Partnership Developer
Dr Joachim Dickhaut
advisor, Senior Principal Scientist

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