Blog Archive

Data Science › An investigation on wine

Can we use machine learning for classifying wine? How can we tell if a wine is good or bad? Read More ›

Computational Chemistry › Identifying molecular functional groups

An algorithm for FG analysis Read More ›

Photochemistry › The Nuclear Ensemble Approach

A method for the calculation of photoabsorption cross-sections Read More ›

Atmospheric Chemistry › AtmoSpec: A Revolutionary Tool for Atmospheric Chemists

UV/Vis Spectroscopy for all! Read More ›

Computational Chemistry › Predicting molecular properties: Solubility

Save the tedious lab work! Read More ›

Masters project - Universtiy of Bristol › Representative sampling in the Nuclear Ensemble Approach - full report

A deep learning data mining project. Read More ›

An interactive graphing module › Atmospec data visualization module report

A demonstration of scalability potential using cloud technologies Read More ›

Web development › This Website

This website is an ongoing project, developing my abities in HTML and CSS. Read More ›

Data Science › Representative Samping for the Nuclear Ensemble Approach

Implemented the Representative Sampling Method using Simulated Annealing to increase the efficiency of high-cost Quantum Chemistry photoabsorption cross-section calculations Read More ›

Cloud paradigms › Improving scalability using cloud paradigms

Scaling an ATLAS data processing script using service based model. Functionality demonstrated locally using Docker swarm Read More ›

Data Science › Biscuit Dunking Data Analysis

A comprehensive analysis of biscuit dunking data Read More ›

Data Visualization › Atmospec Visualization Module

An interactive data visualization module Read More ›

Increasing Efficiency › Accelerating Python code

Exploring tools such as OpenMP, MPI and C++, as well as Python modules Cython and Numba to increase the efficiency of the computationally intensive Lebwhol-Lasher fluid model coded in Python Read More ›