Henry Jia

Henry Jia is a doctoral researcher at the University of Warwick's Mathematics for Real-World Systems Centre for Doctoral Training (MathSys CDT), affiliated with the Department of Computational Chemistry under the Sosso Group led by Dr. Gabriele Sosso. His academic rank is Researcher, focusing on applying machine learning to computational chemistry, particularly predicting pharmaceutical permeability through the blood-brain barrier.

Education:

• PhD (2022–Present): Mathematical Systems CDT, funded by EPSRC. Supervised by Prof. Gabriele Sosso and Prof. Phillip Stansfeld.
• MSc (2021–2022): Mathematical Systems CDT (Distinction). Projects: Blood-Brain Barrier Permeability Prediction and Machine-Learning-Guided Protein Engineering.
• BSc (2017–2020): Mathematics and Statistics (First Class Honours). Project: Optimizing Traffic Congestion with Reinforcement Learning.

Research Interests: Henry's work bridges machine learning and computational chemistry to advance drug delivery systems. He develops transparent ML models for predicting drug permeability, emphasizing interpretability and molecular descriptor analysis. His earlier work explored LSTM networks for stock price prediction, showcasing versatility in applying ML to complex systems.

Previous Experience:

• Machine Learning Engineer at MidJourney and Leap Motion (large-scale ML deployment, CUDA programming).
• Contributions to open-source projects like PyTorch Lightning during parallel work at Leap Motion.

Teaching: Served as a teaching assistant for foundational mathematics courses (Sets and Numbers, Calculus 1/2, Vectors and Matrices) and a lab tutor for machine learning (CS342).

Labs/Teams: Active member of the Sosso Group, collaborating on computational molecular science projects such as clique descriptor-based predictions for drug permeability.