Project Portfolio

William Dee

Background

I am currently studying as a PhD candidate at Queen Mary's Digital Environment Research Institute (DERI) on a project entitled "AI Detection of Druggable Features from High Content Imaging Data". I am applying cutting-edge machine vision algorithmns to study the phenotypic changes captured by microscopy images, with the aim of making AI-led drug development more efficient and effective.

Public GitHub Repositories published to aid reproducibility and education.

Published Research Report submitted in March 2022, with 13 current citations.

Years of experience within the fields of Data Science and Bioinformatics.

Academic Prizes awarded during my Master's degrees.

Portfolio

Included below are links to some of the main projects I have worked on to-date. They have been sorted into the following categories: Biological, Deep Learning (DL), Machine Learning (ML) and Other.

  • All
  • Bio
  • DL
  • ML
  • Other

Peptide Classification

Bio

Deep RL with Pokémon

DL

Forest Cover Classification

ML

Predicting Craft Beer Ratings

ML

COVID-19 UK Housing Impact

ML

Custom Civ 6 Modding

Other

Curriculum Vitae

Before transitioning into the world of Bioinformatics I held a position as Director of Equity Sales at Cowen, a Biotechnology-focused equity research house and investment bank. Prior to that role I gained chartered status as an accountant with KPMG.

Summary

William Dee

I'm a passionate and determined person, focused on executing to my highest capabilities. I left finance to pursue a role with greater positive impact, and believe Bioinformatics can be a force for effective change.

  • Wapping, London, UK
  • (44) 7805 091 213
  • williamtimothydee@gmail.com

Professional Experience

Equity Research Sales - Director

2014 - 2020

Cowen, Inc., London, UK

  • Provided investment advice to Mutual, Pension and Hedge Funds regarding US equities.
  • Built a global client portfolio, spanning Europe, Asia and Oceania.
  • Ran and managed multiple teams, setting targets and tracking outcomes.

Financial Audit - Banking Division

2011 - 2014

KPMG, London, UK

  • Built debt-recovery models, monitoring a bank's loan book for potential bad debts.
  • Passed all 14 accountancy exams first time to become a chartered certified accountant.
  • Lead a multinational team to complete the audit of Rothschild's subsidiaries.

Education

PhD Candidate - UKRI-AIDD Doctoral Training Programme

Present

Digital Environmental Research Institute, Queen Mary University, London, UK

AI detection of druggable features from high content imaging data. Additional modules: Cell Biology and Developmental Genetics, Immunology, Biochemistry, Drug Target Identification, The Molecular Basis of Disease, Advanced Computer Vision.

MSc Bioinformatics

2021 - 2022

Queen Mary University, London, UK

Average grade of 89%. Awarded Principal's Prize for outstanding academic achievement as well as prize for overall top Bioinformatics student. Modules: Genomic Bioinformatics, Coding for Bioscientists, Statistics, Post-Genomic Bioinformatics, Software Development for Population Genomics.

MSc Data Science

2020 - 2021

City University, London, UK

Average grade of 84%. Modules: Deep Reinforcement Learning, Neural Computing, Visual Analytics, Principles of Data Science, Data Visualisation, Machine Learning.

BSc Accounting and Finance

2008 - 2011

The London School of Economics and Political Science (LSE), London, UK

Languages and Packages

Python Advanced
Matlab, R, CSS, HTML, Elm Intermediate
JavaScript, SQL, Vega-lite Basic
Pytorch, Pandas, Numpy, Matplotlib, Seaborn, Sklearn Advanced
Tensorflow, Keras, SciPy, Flask, Pillow Intermediate
Requests, NLTK, Plotly, Beautiful SoupBasic

Contact

William Dee

Please feel free to contact me directly to discuss any matter, or reach out to me on any of the social channels linked below.

Wapping, London, UK

williamtimothydee@gmail.com

+44 7805 091 213