I'm a ML/AI Engineer and Data Scientist working in biomedical/healthcare domains.

📫 You can reach me at:

• LinkedIn (full list of experiences)
• Email: [email protected]

🔭 Check out some of my recent side projects:

🫁 COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound

• Research Paper proposing an explainable, few-shot deep prototypical convolutional neural network for detecting COVID-19 with ultrasound images
• Conducted as part of internship at: National research council Canada and University of Waterloo Vision and Image Processing Lab
• Code repo
• Supervisors: Ashkan Ebadi & Alexander Wong

🧠 MouseNet: Modelling Mouse Visual Cortex with simulated mouse vision dataset and retinotopy

• Computational Neuroscience research project on modelling mouse visual cortex with convolutional neural network and training it with simulated mouse vision video dataset.
• Conducted as part of Neural engineering specialization @ University of Waterloo Biomedical Engineering department
• Supervisor: Bryan Tripps

👩‍🔬 Waterloo iGEM Synthetic Biology Research Group

• Waterloo iGEM is a synthetic biology research group, and we work on 1 project each year. I've worked with protein design tools such as Rosetta, AutoDock and CAD modelling software in these projects.
• Math & Modelling team lead for the 2021 project NeuroDetech: Reducing the bias in ADHD diagnosis
• Math & Modelling team member for the 2020 project ReMiNE: Closing the loop for heavy metal waste

🧬 Computational Genomics - Queen's University Panchenko Lab

• I worked on genomic analysis using the MutaGene software that elucidates the cancer-driving mutational motifs and signatures for DNA Polymerase Epsilon in endometrial cancer patient genome.
• Inspected and visualized gene mutation data to identify sample groups based on mutational signature exposures using clustering and classification algorithms.
• Discussed results and crafted related conference poster sections to present findings.