TIMOTHY@enigmaoffline

ABOUT

Hi, I am Timothy Lo

I am a PhD student currently researching at UCL alongside Leo Cancer Centre to further develop techniques and methods for upright radiotherapy for the thorax region.

Artifical Intelligence

I currently specialise in the field of computer vision and advanced image analysis. My previous research during my masters degree is to develop an end to end, image to diagnosis pipeline for ultrasonic scan images of ovarian masses. My current research is closely related to my previous as it also requires extensive work on analysing anatomical structures of the chest region.

Software Engineering

On top of being a research on AI and ML, I am also a self-taught web and mobile developer. I specialise in the react family of frameworks, specifically ReactJS and NextJS for web development and React Native for mobile development. Visit my GitHub page or highlighted projects for more of my work.

Hobbies & Robotics

I have always taken an interest in embedded systems and micro controllers. In fact, I was first exposed to programming through robotics. I have created home automation systems with esp32s and arduino boards. I have also built a NAS system using the raspberry pi 4.

SKILLS

Python

NumPy

PyTorch

Pandas

TypeScript

JavaScript

NextJS

ReactJS

C++

Arduino

PROJECTS

Ultrasound Auto-Seg

Auto-Segmentation of medical scans

Auto-Seg (auto-segmentation) of ultrasonic scans for ovarian masses is my main research focus for my Master's thesis. My diagnosis pipline managed to achieved an accuracy of 92%.

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CoinControl

Money Management App

CoinControl is a money management mobile app with an account system, cloud backup, analytics, and also a built-in calculator for easy calculations for recording cashflow

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Expedite

Puzzle Game Solver

Project Expedite is my attempt to create solutions, algorithms, or solvers to classic puzzle games. A few principles are setup and all the algorithms abide by these principles.

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RL Pacman

Undergraduate Project

RL Pacman is my undergraduate disseration. The topic is to use the Pacman environment to study the differences of classic reinforcement learning and genetic algorithm.

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EDUCATION

ACHIEVEMENTS