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Suraj Bansal

  • STUDENT RESEARCHER
  • SOFTWARE DEVELOPER
  • COFFEE AFICIONADO
  • GUITAR ENTHUSIAST

Always Learning, Always Coding


Hey there! My name is Suraj Bansal — I'm an incoming freshman at McMaster University interested in pharmacogenomics, bioinformatics, and global health. I'm currently researching heterogeneity in Acute Myeloid Leukemia at Princess Margaret Cancer Centre, scaling mental health projects for 130,000+ students as YRDSB's Student Senate Prime Minister, and building CovBot, an AI-powered chatbot to control COVID-19 misinformation in low-income counties.

You'll usually catch me training for an upcoming marathon, cooking Jamie Oliver-inspired dishes, or occasionally strumming my guitar outside Union Station! Reachout if you have startup ideas in systems pharmacology, an interesting Covid-19 research study, or for talking over some cold brew!

Work Experience

Student Researcher
Princess Margaret Cancer Centre, UHN
Summer Student
Medical Biophysics at University of Toronto
Prime Minister
York Region Presidents' Council
Project Developer
Ryde AI
Project Consultant
Sidewalk Labs
Project Consultant
Kidogo Co.
Summer Shadow
Baylor Scott and White Health
Summer Student
St. Michaels Research Centre
Student Co-Chair
TEDxYouth Toronto
Website Developer
Frontline Connect Canada
Director of Logistics
Richmond Hill Mayor's Youth Action Committee
Teaching Assistant
Karnataka Centre for Developmental Disabilities
Interested in working together? Here's my resume

Software Projects

Ryde AI

Open-source L2 self-driving car software to democratize autonomous vehicles with your smartphone.

Python

Learn More!
Synbiolic

Contributed to a client-facing app for computational drug discovery (Microsoft IC North American Finalist)

Jupyter Notebook

Learn More!
Polyp Detection

Leveraged convolutional neural networks to achieve an accuracy rate 20% higher than industry.

Python

Learn More!
Apple Stock Prediction

Used LSTM Neural Networks to predict Apple stock prices from 2010-2016 with an accuracy of 98.3%.

Jupyter Notebook

Learn More!

Consulting Projects

Sidewalk Labs | Toronto

Zappos | Las Vegas

Kidogo | Nairobi

  • STUDENT RESEARCHER
  • SOFTWARE DEVELOPER
  • COFFEE AFICIONADO
  • GUITAR ENTHUSIAST

Always Learning, Always Coding


Hey there! My name is Suraj Bansal — I'm an incoming freshman at McMaster University interested in bioinformatics, pharmacogenomics, and global health. I'm currently researching heterogeneity in Acute Myeloid Leukemia at Princess Margaret Cancer Centre, scaling mental health projects for 130,000+ students as Prime Minister ofYRDSB's Student Senate, and building CovBot, an AI chatbot to control COVID-19 misinformation in low-income counties.

You'll usually catch me training for an upcoming marathon, cooking Jamie Oliver-inspired dishes, or occasionally strumming my guitar outside Union Station! Reachout if you have startup ideas in systems pharmacology, an interesting Covid-19 research study, or for talking over some cold brew!

Work Experience

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Research Intern
Princess Margaret Cancer Centre, UHN
Summer Student
Medical Biophysics Department, Univeristy of Toronto
Prime Minister
The York Region Presidents' Council
Project Developer
Ryde AI
Project Consultant
Sidewalk Labs
Project Consultant
Kidogo Co.
Summer Intern
Baylor Scott and White Health
Summer Student
St. Michaels Research Centre
Student Co-Chair
TEDxYouth Toronto
Website Developer
Frontline Connect Canada
Director of Logistics
Richmond Hill Mayor's Youth Action Committee
Teaching Assistant
Karnataka Centre for Developmental Disabilities
Interested in working together? Lets make it happen — here's my resume

Software Projects

Ryde AI

Open-source L2 self-driving car software to democratize autonomous vehicles with your smartphone.

Python

Learn More
Synbiolic

Contributed to a client-facing app for computational drug discovery (Microsoft IC North American Finalist)

Jupyter Notebook

Learn More
Polyp Detection

Leveraged convolutional neural networks to achieve an accuracy rate 20% higher than industry.

Python

Learn More
Stock Prediction

Used LSTM Neural Networks to predict Apple stock prices from 2010-2016 with an accuracy of 98.3%.

Jupyter Notebook

Learn More

Consulting Projects

Sidewalk Labs | Toronto

Zappos | Las Vegas

Kidogo | Nairobi