Suyue Lyu
Suyue Lyu

PhD Student

About Me

I am a PhD student studying Biomedical Engineering at University of Toronto. My PhD supervisor is Michael Garton. My recent work includes developing a model for designing viral capsid proteins to evade pre-existing antibodies, published in Nature Machine Intelligence. I am currently working as a summer research intern at Microsoft Research New England Lab (BioML Team). Mentored by Kevin K. Yang and Alex Lu, I am working on deep cross-species protein adaptation for protein deimmunization and other applications.

I come from a biology background with multiple wet lab research experience spanning different therapeutic topics. For my PhD, I shifted my focus to computational methods and deep learning in particular. I am enthusiastic about formulating therapeutic protein engineering problems into well-defined computational tasks, and applying generative modeling and other machine learning techniques to solve them.

Aside from research, I enjoy watching movies, listening to Jazz, biking, DIY, cooking, and painting. I am a proud mom of a cute tabby cat named Smelly.

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Interests
  • Protein Design
  • Deep Learning
  • Therapeutic Protein
Education
  • PhD Biomedical Engineering

    University of Toronto

  • MSc Bioengineering

    University of Illinois Urbana-Champaign

  • BSc Biotechnology

    Beijing Normal University

Recent Publications
(2024). Variational autoencoder for design of synthetic viral vector serotypes. Nature Machine Intelligence.
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Experience

  1. Director of Cloud Infrastructure

    GenCoin

    Responsibilities include:

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  2. Backend Software Engineer

    X

    Responsibilities include:

    • Migrated infrastructure to a new data center
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Education

  1. PhD Biomedical Engineering

    University of Toronto
  2. MSc Bioengineering

    University of Illinois Urbana-Champaign

    GPA: 3.97/4.0 Courses included:

    • Artificial Intelligence, Introduction to Data Mining
    • Experiment Design & Optimization, Bioinformatics
    • Computational Bioengineering, Quantitative Biotechnology
  3. BSc Biotechnology

    Beijing Normal University
    GPA: 3.86/4.0
Skills & Hobbies
Technical Skills
Python
Data Science
SQL
Hobbies
Hiking
Cats
Photography
Awards
Neural Networks and Deep Learning
Coursera ∙ November 2023
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
Blockchain Fundamentals
edX ∙ July 2023

Learned:

  • Synthesize your own blockchain solutions
  • Gain an in-depth understanding of the specific mechanics of Bitcoin
  • Understand Bitcoin’s real-life applications and learn how to attack and destroy Bitcoin, Ethereum, smart contracts and Dapps, and alternatives to Bitcoin’s Proof-of-Work consensus algorithm
Object-Oriented Programming in R
datacamp ∙ January 2023
Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, and building GUIs.
See certificate
Languages
100%
English
75%
Chinese
25%
Portuguese