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Rishabh Pabbi

Hi, I'm Rishabh

I'm a computational researcher at the University of Victoria, working at the intersection of data science and healthcare. My work focuses on understanding how the immune system responds to cancer, using computational models to simulate biological processes that could lead to better treatments.

With a double major in Computer Science and Statistics, I bridge the gap between complex algorithms and real-world medical applications. I believe that the most impactful work happens when technical expertise meets genuine curiosity about solving human problems.

When I'm not analyzing tumor microenvironments or training machine learning models, you'll find me exploring Victoria's trails, experimenting with new technologies, or diving into research papers that push the boundaries of what's possible.

Technical Skills

Languages

Python R SQL Java C++ Swift JavaScript

Machine Learning & AI

TensorFlow PyTorch scikit-learn Deep Learning NLP Computer Vision

Statistics & Analysis

Bayesian Inference Regression Survival Analysis Hypothesis Testing Time Series

Cloud & Infrastructure

Azure AWS Docker Kubernetes Git

Data Engineering

Spark Neo4j PostgreSQL MongoDB ETL Pipelines

Visualization

Power BI Tableau Matplotlib ggplot2 D3.js
// education

MSc Statistics @ UVic

Currently pursuing my Master's degree with a 8.83/9.0 GPA under the supervision of Dr. Farouk Nathoo. My thesis research focuses on computational modeling of antibody diffusion in tumor microenvironments, with applications to ovarian cancer immunotherapy.

Research Areas: Cancer Bioinformatics, Statistical Modeling, Medical Imaging Analysis

The path forward

Let's Work Together

Interested in collaboration or have a project in mind?