Elijah - Maths tutor - Surrey
Elijah - Maths tutor - Surrey

Elijah's profile, qualifications and contact details have been verified by our experts

Elijah

  • Rate RM144
  • Response 1h
  • Students

    Number of students accompanied by Elijah since their arrival at Superprof

    42

    Number of students accompanied by Elijah since their arrival at Superprof

Elijah - Maths tutor - Surrey
  • 5 (9 reviews)

RM144/h

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  • Maths
  • Algebra
  • Statistics
  • Logic
  • Chemical Physics

Computer Science, Mathematics, Statistics, and Bioinformatics PhD graduate who is highly knowledgeable in all things STEM, with tutoring/teaching experience from high school to postgraduate levels

  • Maths
  • Algebra
  • Statistics
  • Logic
  • Chemical Physics

Lesson location

Super tutor

Elijah is one of our best Maths tutors. High-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Elijah

Hello friends, my name is Elijah Willie, and I am currently a PhD candidate in Mathematics and Statistics at the University of Sydney, where I'm developing interpretable computational methods for characterizing disease-associated cellular phenotypes through single-cell and spatial omics data analysis. My research has resulted in novel frameworks including FuseSOM for multiview clustering in imaging cytometry and dioscRi for clinical prediction using deep learning approaches.
I studied computer science, molecular biology, and biochemistry with a minor in statistics at Simon Fraser University, then completed my master's in bioinformatics at the University of British Columbia (UBC). During my masters, I was a teaching assistant for the Masters of Data Science program and continued afterward to develop courses in programming, data visualization, and machine learning.
Before starting my PhD, I worked as a Senior Bioinformatician at Roche building high-performance proteomics pipelines, and prior to that at Fusion Genomics developing ML-based tools for next-generation sequencing analysis. I've also contributed to research at BC Cancer engineering clinical pipelines for AML genomic profiling.
Currently, I'm teaching Data Analytics Foundations (ODAT5011), Data Science Capstone (DATA3888), and Computational Statistical Methods (STAT5003) at the University of Sydney. My work has been published in journals including Nature Communications, Nature Immunology, Blood, and JCO, focusing on areas from single-cell integration to tumor microenvironment characterization.
Besides bioinformatics and data science, I also have interests in extracurriculars such as soccer, gaming, chess, and traveling.

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About the lesson

  • SPM
  • Adult education
  • Masters
  • levels :

    SPM

    Adult education

    Masters

  • English

All languages in which the lesson is available :

English

My six years of experience in teaching and course development have reinforced my belief that students learn best by building on simple, familiar concepts. From developing courses for UBC's Masters of Data Science program to currently teaching Data Analytics Foundations, Data Science Capstone, and Computational Statistical Methods at the University of Sydney, I've consistently found that using real-world examples helps bridge the gap between abstract statistical concepts and practical applications.
In my courses, I leverage datasets from diverse domains—whether it's analyzing spatial transcriptomics data in my research or using everyday scenarios in ODAT5011—to help students develop critical thinking skills. My experience across different educational contexts, from creating Python-based ML courses at UBC to teaching R-based analytics at Sydney, has taught me the importance of adapting pedagogical approaches to meet diverse student needs.
I believe effective education requires continuous learning and flexibility. As someone who works at the intersection of computational biology, statistics, and data science, I understand that both the tools and the learners are constantly evolving. While technologies and student demographics change, I've found that distilling complex ideas through tangible examples remains a fundamental strategy. Whether I'm explaining variance decomposition in spatial omics to research students or introducing basic statistical concepts to beginners, this approach consistently facilitates deeper understanding.
My commitment is to remain responsive to new teaching methodologies while maintaining the core principle of making complex concepts accessible through practical, real-world applications. This philosophy has guided my teaching from my early days as a TA through to my current role preparing the next generation of data scientists and statisticians.

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Rates

Rate

  • RM144

Pack rates

  • 5h: RM720
  • 10h: RM1440

online

  • RM144/h

Travel

  • + RM10

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