About Me

Hi! I’m Anabel. I hold a Masters in Computational Statistics & Machine Learning at University College London. I graduated with 1st Class Honours in Mathematics & Biochemistry at University of Edinburgh.

I am interested in statistical machine learning and machine learning for drug discovery! Current specific machine learning interests include meta learning, gaussian processes and multi-objective bayesian optimization methods.

For more details about me, click on my resume (updated as of October 2023).

Current Work

Machine Learning Engineer Intern @ IgnotaLabs.AI

• under supervision by Brooks Paige, UCL and Austin Tripp, University of Cambridge
• Benchmarking current generative AI models for practical molecular optimization PMO Benchmarks
• Developing a novel Gaussian Process Bayesian Optimization algorithm modelling each molecular property independently using Tanimoto Kernel GPs
• Working on Tanimoto Kernel methods to handle molecular fingerprints and multi-objective optimization problems such as Expected Hypervolume Improvement

Industry Experience

Part-time Data Scientist @ SAINS Kuching, Malaysia (June 2023)

• Deployed supervised learning algorithms, including Random Forest Classifiers and Logistic Regression, to predict consumer behaviors in pharmaceutical companies

Contact Details

• UCL Email: ucabyon AT ucl.ac.uk
• Personal Email: [banana180501 AT gmail period com]
• GitHub: /anabelyong