
Sara El-Shawa
Sr. Machine Learning Engineer | MASc Engineering + AI | Vector Scholar in AI
Updated 7 months ago
9+
Years Experience
15
Roles
8
Skills
2
Education
About
I’m a driven machine learning engineer with a strong interdisciplinary background in AI, computational biology, and applied research. I have experience in deep learning and large-scale data analysis, focusing on developing machine learning solutions for real-world challenges. I’ve worked across startups, academic labs, and cross-functional teams in Canada, the USA, and Japan, contributing to AI-driven biological research, forecasting models, and applications that bridge machine learning with decision-making. I’m passionate about advancing AI innovation by integrating computational biology, bioinformatics, and applied AI. Always open to connecting and discussing research, industry applications, and collaborations - feel free to reach out!
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Experience (15 roles)
Sr. Machine Learning Engineer
CurrentContributing to multiple ML projects spanning LLMs, computer vision, and graph-based methods. Applied graph-based methods to analyze network topology for gene ranking, identifying optimal gene targets and contributing to two patents. Led a computer vision project to detect and automatically measure ...
Applied Machine Learning Intern
Researched the use of Graph Convolutional Networks (GCNs) for analyzing Variants of Concern (VOCs) in COVID-19. Developed and presented research on federated learning in healthcare, simulating privacy-preserving scenarios for hospitals.
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Education (2)
University of Toronto
Dean's List Supervisor: Dr. Rob W. Ness Undergraduate Honours Thesis: The effect of genetic connectivity on the strength of natural selection in Chlamydomonas reinhardtii
University of Guelph
Supervisor: Dr. Graham W. Taylor Thesis: Exploring and Predicting Plant-Arthropod Interactions: Hierarchical Modelling of Species Communities and Graph Neural Network Approaches
Skills (8)
Certifications (2)▼
SciNet Certificate in High Performance Computing
SciNet High Performance Computing Consortium
Data or Specimens Only Research
CITI Program
Languages (2)▼
Volunteer Experience (2)▼
Mentor/Reviewer
AI4Good Lab
May 2021 - Feb 2024 · 2 yrs 10 mos
Program Representative
Vector Institute
Oct 2020 - Oct 2021 · 1 yr 1 mo
Honors & Awards (6)▼
Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)
Apr 2021
Vector Research Grant
Issued by Vector Institute · Jan 2020
Associated with Vector Institute
Vector Scholarship in Artificial Intelligence
Issued by Vector Institute · Sep 2020
Associated with Vector Institute
Best Undergraduate Student Poster Award
Issued by SMBE · Jul 2018
Ontario Scholar
Jan 2014
Deans Academic Excellence Award
Issued by University of Toronto
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