Suraj Bansal

I'M A

Always Learning, Always Coding


Hey there! My name is Suraj Bansal — I'm a 17 y/o from Toronto interested in pharmacogenomics, computational medicine, and global health. I'm currently researching targeted therapeutics for Acute Myeloid Leukemia with scRNA-seq at Princess Margaret Cancer Centre, building an autonomous vehicle startup, and developing bioinformatics pipelines at the PM-OICR Translational Cancer Genomics Laboratory

You'll usually find me exploring different cuisines, playing guitar, enjoying sunrise cardio, or studying philosophy. Reachout if you have startup ideas in software development, an interesting Covid-19 research study, or just talking over some cold brew!

Work Experience

Student Researcher
Princess Margaret Cancer Centre
Research Intern
PM-OICR Translational Genomics Labratory
Co-Founder
Ryde AI — Autonomous Vehicles. Democratized.
Prime Minister
York Region Presidents' Council
Project Consultant
Sidewalk Labs
Project Consultant
Kidogo Co.
Summer Intern
Baylor Scott and White Health
Keenan Research Summer Student
St. Michaels Research Centre
Software Developer
Synbiolic — Microsoft Imagine Cup North American Finalist
Youth Organizer
TEDxYouth Toronto
Website Developer
Frontline Connect Canada
Innovator
The Knowledge Society
Director of Logistics
Richmond Hill Youth Action Committee
Teaching Assistant
Karnataka Centre for Developmental Disabilities
I'm always interested in growth opportunities for software development or research — 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 Work

Sidewalk Labs | Toronto

Zappos | Las Vegas

Kidogo | Nairobi

Suraj Bansal

I'M A

Always Learning, Always Coding


Hey there! My name is Suraj Bansal — I'm a 17 y/o from Toronto interested in pharmacogenomics, computational medicine, and global health. I'm currently researching targeted therapeutics for Acute Myeloid Leukemia with single-cell transcriptome sequencing at the Princess Margaret Cancer Centre, developing bioinformatics pipelines at Translational Genomics Laboratory, and building an open-sourceautonomous vehicle startup.

You'll usually find me exploring different cuisines, playing guitar, enjoying sunrise cardio, or studying philosophy. Reachout if you have startup ideas in software development, an interesting Covid-19 research study, or just talking over some cold brew!

Work Experience

Drag left or right to view more

Student Researcher
Princess Margaret Cancer Centre
Research Intern
PM-OICR Translational Genomics Labratory
Co-Founder
Ryde AI — Autonomous Vehicles. Democratized.
Prime Minister
The York Region Presidents' Council
Project Consultant
Sidewalk Labs
Project Consultant
Kidogo Co.
Summer Intern
Baylor Scott and White Health
Keenan Research Summer Student
St. Michaels Research Centre
Software Developer
Synbiolic — Microsoft Imagine Cup North American Finalist
Youth Organizer
TEDxYouth Toronto
Website Developer
Frontline Connect Canada
Innovator
The Knowledge Society
Logistics Director
Richmond Hill Youth Action Committee
Teaching Assistant
Karnataka Centre for Developmental Disabilities
I'm always interested in software development or research opportunities — 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 Work

Sidewalk Labs | Toronto

Zappos | Las Vegas

Kidogo | Nairobi