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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Generalised Variational Inference
Published:
Generalised Variational Inference (GVI) is a framework motivated by the breakdown of the Bayesian posterior interpretation in larger-scaled models like Bayesian Neural Networks. In this post, I will discuss how GVI addresses this issue by re-framing Bayesian inference in a wider context of constrainted optimisation. I will also discuss how the GVI posterior ensures the existence of a unique minimiser, providing theoretical guarantees that can be used for understanding larger-scaled modelling in the context of learning theory.
Expectation Maximisation
Published:
Expectation maximisation is a powerful algorithm that can be applied to a wide variety of problems, including clustering, mixture models, and hidden Markov models. In this post, I will present the general formulation of the algorithm and apply it to the k-means clustering problem as an example.
The Kernel Stein Discrepancy
Published:
Stein discrepancies (SDs) calculate a statistical divergence between a known density \(\mathbb{P}\) and samples from an unknown distribution \(\mathbb{Q}\). In this post, we will introduce the Stein discrepancy, in particular the Langevin Kernel Stein Discrepancy (KSD), a common form of Stein discrepancy.
Gaussian Processes: A Hands On Introduction
Published:
There are many online resources for understanding Gaussian Processes. In this post, I present a more hands on way of introducing the topic that I found quite helpful and intuitive for myself.
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Robust Beat-To-Beat Detection Algorithm for Pulse Rate Variability Analysis from Wrist Photoplethysmography Signals
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Proposed a robust peak and onset detection algorithm for beat-to-beat (B2B) pulse interval analysis using photoplethysmography (PPG) heart signals.
Development and Validation of a 3D-printed Neuronavigation Headset for Therapeutic Brain Stimulation
Published in Journal of Neural Engineering, 2018
Proposed an intermediate solution for neuronavigation in therapeutic brain stimulation, offering superior reproducibility and ease-of-use to scalp measurements, without requiring MRI and frameless stereotaxy.
Biomedical Named-Entity-Recognition (BASc. Thesis)
Demonstrated state-of-the-art performance for named-entity recognition(NER) of biomedical literature with transfer learning and multi-tasked learning.
Power Optimization Using Embedded Automatic Gain Control Algorithm with Photoplethysmography Signal Quality Classification
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Designed and implemented an Automatic Gain Control (AGC) embedded algorithm for photoplethysmographic (PPG) heart sensors.
Generalised Variational Inference for Gaussian Processes (Msc. Thesis)
Achieved linear time inference objectives for variational Gaussian processes compared to cubic complexity approaches in existing literature.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.