We are delighted to welcome you to the next session of our AIchemy Hub’s monthly webinar series.

Speakers: 

Dr. Adam Clayton – Self-Optimising Approaches for Flow Synthesis

Abdoulatif Cisse – HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses

Speakers:
Prof. Felix Strieth-Kalthoff – Machine Learning hits the Lab: Experiment Planning with Bayesian (Co-)Pilots
 
Kelvin Wong – Analysing Small Angle X-Ray Scattering Data with Neural Network Accelerated Monte Carlo Sampling

Speakers: 

Dr. Sterling Baird – So, you want to build a self-driving lab?
Dr. Austin Mroz – Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Consideration

Speakers: 
Ross Urqurhart – Machine Learning Potentials: Beyond Potential Energy
Dr. Fadwa El Mellouhi – Data-driven Materials Discovery

Speakers: 
Yuan Li & Prof. Philippe Schwaller
Tenure-Track Assistant Professor
École Polytechnique Fédérale de Lausanne | EPFL

Speakers: 

Linden Schrecker (SOLVE Chemistry) and Nessa Carson (Astrazeneca)