Waterloo, ON

Araf
Reshad

I'm a researcher, builder, and speaker from Waterloo, Canada. Currently a Health Sciences student @ Queen's University as a Chancellor's Scholar.

Recently, I am —


Recent writing

Published

Clinical Correlates of Low BMD in a Tertiary Care Diagnostic Centre

First author clinical project. Published in Journal of Surgery & Research 2026. Learnt a lot performing multivariable logistic regression in SPSS, R, Python and shadowing orthopaedic surgeries in-person.

Submitted

Early-Stage Avascular Necrosis of the Femoral Head Treated With and Without PRP Therapy

Second author clinical study on Avascular Necrosis of the Femoral Head. 2x conference presentation. Abstract accepted to Clinical Journal of Sports Medicine.

Published

Comparative Analysis of BMD in relation to Age, Sex, and BMI.

First author clinical study. Published in Journal of Surgery & Research.

In Progress

Using AI to Predict Total Knee Arthroplasty In Medicaid Patients using Social Determinants of Health

First NIH R01 Funded project. First Author Scoping Review based out of UAlabama's Heersink School of Medicine.

Published

fNIRS CNN-MLP Classifier for Early Onset Alzheimer’s Risk Scoring & Prevention

1st Place in Queen’s Healthcare and Sciences Research Workshops (QHCSRW). Abstract Published in URNCST Journal.

In Progress

ESG AI Agent (RAG Pipeline)

AI-powered ESG compliance agent using RAG. 62-document corpus with Playwright + Chroma.

Presented

TikTok Canada Pitch Presentation

Pitched to executives at Tiktok Canada on our ideas of bridging short & long educational content through improved visibility and organisation. Got to work with the best best team @ TKS Tiktokers🤝

Completed

Insightful.ly

AI-powered tool for summarizing academic research built in Cohere. Presented at Hack the North @ UWaterloo Engineering.

Completed

Snakes & Ladders (Python)

Snakes and Ladders game built in Python for Gr11 Intro to CS Course.🐍

ML

SVM Imaging Model to Detect Trisomy 21 in Non-Invasive Prental Testing

Support vector machine classifier for fetal imaging. ~96.7% accuracy. Made in Grade 9 to win a $500 scholarship. Watch the demo!

Photo 1
Touch down in Accra, Ghana (Akwaaba!)
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Candid with the best team
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Entertainment GM team @ Queen's Relay for Life 2026! Over $255,000 raised😊
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National Officer team @ HOSA SLC 2026
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Beach trip @ Grand Bend w/ the boys
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CUCOH Poster Presentation '26
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Queen's Humans of HealthSci Interview!
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Surgical Internship + Shadowing @ SQUARE Hospitals '25 ⚕️
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McNeill Dorm Crashing
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Orientation Week at Queen's 🤝
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My First TEDx Talk @ Havergal College, TO!
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Best Travel Buddies O.A.T @ Queen's Global Medical Brigades🌎

I'm always happy to hear from researchers, collaborators, or anyone with an interesting idea. Feel free to reach out.

Emailaraf.reshad@gmail.com
LinkedInlinkedin.com/in/arafreshad
Based inKingston, ON (Waterloo in summers)