Resume

Professional Experience 👩‍💻 #

1. Senior Machine Learning Engineer

   Jun 2022 - Present

   Analysing sidescan sonar data and GAN based image simulation

   Internal promotion
   

   • Project managed and mentoring 2 interns for an augmented reality mission planning tool initially proposed by myself
   • Developed a custom MLFlow server for improving reproducability of ML experiments
   • Ownership over internal sidescan sonar simulation codebases
   • Maintenance of internal ML dependencies such as CUDA

2. Machine Learning Engineer

   2020-2022

   • Developing custom generative adversarial network (GAN) solutions for sidescan sonar image synthesis
   • Improving internal tools e.g ray tracing for sidescan image simulation
   • Taking part in extra activities such as software engineering book club, external outreach and community engagement

   Languages:

   • C++
   • Python

3. Data Scientist

   2019-2020

   Using ML and data science techniques to solve problems for a range of SME

   Projects:

   • Disease classification using deep learning on ultrasound images
   • Semantic segmentation and boundary reconstruction of satellite images using MxNet
   • Time series analysis for predictive maintenance using time series sensor data for natural energy sources
   • Designed a relational database structure for open-source protein structure data in python and SQL

   Languages:

   • Python
   • SQL

4. Data Analyst

   2018-2019

   Point cloud & image analysis of super-resolution microscopy data

   • Point cloud analysis; this included cluster analysis (HDBSCAN, K-means) and colocalisation analysis (Ripley's K, probabilistic thresholding, SODA)
   • Image analysis; this included segmentation of biological images such as extracting cells from the background
   • Single particle tracking; Implemented techniques (velocity measures, nearest neighbour) to track the movement of a single molecule through time and space to effectively count the number in an image
   • Front-end development; Experience in developing client-ready dashboards using Dash, and interactive graph and web components using React and JavaScript
   • Took part in recruitment and external engagement events for the company

Education 👩‍🎓 #

1. Achievements

   cool stuff

   • Best MSc dissertation in Data Analytics
   • Winton Award for Excellence in Data Analytics
   • Best undergraduate psychology cohort final project presentation

2. MSc Data Analytics

   2017-2018

   Grade: 1.1

   • Dissertation
     1. An evaluation of image registration methods for image-guided spine surgery
   • Extracurricular activities
     1. Data analytics course rep
   • Optional modules
     1. Image & video analysis (my favourite!)
     2. Sensor networks and mobile data communication
     3. Natural language processing
     4. High performance computing
   • Core modules
     1. Foundations of Computing
     2. Foundations of Data Analytics
     3. Data Mining
     4. Research Methods

3. BSc Psychology

   2014-2017

   Grade: 2.1

   • Final project
     1. Investigating the interaction between colour and texture and the perception of scale using virtual reality
   • Extracurricular modules
     1. Programming in neuroscience (audited from MSc in Neuroscience and Neuroimaging)
   • Final year modules
     1. Advanced Research Methods - Statistics
     2. Disorders of the Visual System
     3. Cognitive Neuroscience of Attention
     4. Memory and the Brain
   • 1st/2nd year modules
     1. Research Methods and Statistics
     2. Social, Personality and Abnormal Psychology
     3. Brain and Behaviour - The Structure and Function of the brain
     4. Perception and Cognition
     5. Development and Language

Professional Certifications ✍️ #

I am also currently learning Mandarin Chinese with the aims of completing the HSK Level 1 exam 🌿•✧💻⋆⭒˚☕️｡⋆

Dance achievements 💃 #