CV

Basics

Name Thuy Dao
Label PhD Student
Email thanhthuy.dao@uq.edu.au
Url https://iishiishii.github.io/
Summary I'm a PhD student at University of Queensland under the guidance of Dr. Steffen Bollmann. My research interests include software development and optimizing deep learning model performance on edge computing for medical imaging to enhance user interaction.

Work

  • 2024.07 - now

    Brisbane, Australia

    University of Queensland
    Casual Academic
    Tutoring and marking for undergraduate an postgraduate courses.
    • Software Architecture (CSSE6400)
    • The Software Process (CSSE3012)
    • Design Computing Studio 3 - Build (DECO3801)
    • Software Engineering Studio: Design, Implement and Test (CSSE3200)
  • 2022.06 - now

    Brisbane, Australia

    University of Queensland
    Casual Associate Data Analyst
    Lead initiatives to streamline data collection and data transformation processes, ensuring accuracy for decision-making.
    • Developed new reporting solutions using PowerBi, Microsoft Automate and Excel to effectively inform sustainable management practices.
    • Proposed data migration strategy to improve data quality and accessibility.
  • 2021.10 - 2022.02

    Bochum, Germany

    University of Bochum
    Part-time Research Assistant
    Contributed to deep learning model for 3D reconstruction.
    • Prepared data from AutoCAD for deep learning model to reconstruct digital twins of buildings.
    • Built Docker image to deploy deep learning model.
  • 2020.10 - 2021.08

    Singapore

    Trilogy Technologies Pte. Ltd
    Software Engineer
    Developed healthcare IoT solutions
    • Led the RnD team of 6 engineers, managed projects, and introduced Github to the team.
    • Optimized signal processing algorithm and developed firmware for smart watch to measure vitals in nRF52 SDK.
    • Developed a mobile application using Flask, Flutter, PostgreSQL to connect to smart watch through Bluetooth.
    • Developed firmware for Bluetooth/LoRa gateway, and set up MQTT broker to stream the data from gateway.
  • 2018.09 - 2018.09

    Ibaraki, Japan

    Nippon Koei Research and Development Center
    Research Intern
    Simulation analysis
    • Built the simulation of landslide slope using PFC 2D.

Education

  • 2022.04 - 2025.10

    Brisbane, Australia

    PhD
    The University of Queensland
  • 2015.10 - 2019.09

    Fukuoka, Japan

    Bachelor
    Kyushu University

Awards

Volunteer

  • 2024.01 - now
    Women in Neuroscience
    Advocate equality in science.
    • Contribute to paper writing
  • 2021.10 - 2022.03
    Deepkapha AI Lab
    Validated and optimized architecture for stateful NLP model to reduce social bias.
  • 2020.04 - 2020.04
    Zulip
    Open source project
    • Created a chat bot reacting and replying to messages.

Projects

  • 2022.04 - now
    Neurodesk
    Neurodesk provides a containerised data analysis environment to facilitate reproducible analysis of neuroimaging data.
    • accessible
    • flexible
    • portable
    • reproducible
    • neuroimaging
  • 2023.04 - now
    Deepsyence
    Deepsyence is a web-based platform for deep learning model deployment for medical imaging.
    • client-side computation
    • user-friendly
    • efficient
    • medical imaging

Certificates

LPWAN - Making it work
Nanyang Polytechnic, Singapore 2021
AI for Medical Diagnosis
Deeplearning.ai 2021
Fundamental Neuroscience for Neuroimaging
Johns Hopkins University 2021

Skills

Software
Python
Pytorch
JavaScript
TypeScript
HTML/CSS
React
Node.js
Flask
Django
C
Matlab
Dart
Bash
Research
Deep Learning
Medical Imaging
Signal Processing
Data Analysis
Academic writing
Presentation

Languages

Vietnamese
Japanese
English

Interests

Medical Imaging
Deep Learning
Federated Learning
Reproducibility
Edge Computing