# Biography

I'm a first year Ph.D. student in Computational Statistics and Data Science (COMPASS) at the University of Bristol. My main research interests lie in sampling methods for bayesian inference and in variational methods. I am also interested in the application of such methods to Genomics data. I co-run two reading groups: one on Neural Networks and one on Statistic Population Genetics. Some of my R portfolios are available here.

### Interests

• Artificial Intelligence
• Machine Learning
• Bayesian Computation
• Sampling Methods
• Variational Inference
• Genomics
• Population Genetics

### Education

• PhD in Computational Statistics and Data Science, 2019

University of Bristol

• BSc in Mathematics with Year in Employment, 2019

University of Southampton

# Experience

#### Uniper

Jun 2017 – Aug 2018 Nottingham
Responsibilities include:

• Wind Power Forecasting
• Windfarm layout optimization
• Detecting gas turbines failures using CV
• SQL, Cassandra, Python

#### Dr. Richardson Giles, University of Southampton

May 2016 – Jul 2016 Southampton
Modelled and simulated particle hopping in solar panels with Python.

# Recent Posts

### Minimalist Variational Autoencoder in Pytorch with CUDA GPU

Variational Autoencoders in Pytorch with CUDA GPU

### Variational Auto-Encoders and the Expectation-Maximization Algorithm

Relationship between Variational Autoencoders (VAE) and the Expectation Maximization Algorithm. Simple Explanation

### Towards SMC: Using the Dirac-delta function in Sampling and Sequential Monte Carlo

We derive the Dirac-delta function, explain how to use to approximate an Empirical PDF for a sample.

### Towards SMC: Sequential Importance Sampling

Sequential Importance Sampling intuition simply explained for SMC

### Towards SMC: Importance Sampling with Sequential Data

Importance Sampling tutorial for Sequential Data

# Recent Publications

Quickly discover relevant content by filtering publications.

# Contact

• Woodland Road, Bristol, BS8 1TH
• Turn right at the entrance to office GA.14