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Welcome!

⚑ My name is Sandrine (she/her) and I'm a computational scientist in Montréal, QC.

πŸ”­ I studied Quantitative & Computational Biology for both my BSc and MSc, during which I fell in love with everything related to data science applied to biological problems.

πŸ” I'm currently fascinated about the innovative challenges at the intersection of software engineering, bioinformatics and environmental/health sciences. In the past years, I'ved loved contributing to multi-omic solutions on high-dimensional datasets to enable the propulsion of clinical trials, drug discovery and personalized patient therapy. I've also fallen in love with software development, and am currently working on back-end web development for Metrio's ESG (Environmental, Social & Governance) reporting software at Nasdaq Inc.

πŸ”— I thrive to help bridge the gap between professionals of different industries, since I strongly believe in harnessing the strength of interdisciplinarity to drive research.

🌱 I'm also very passionate about scientific communication and education, which is why I've participated in many educational initiatives over the years (and will continue to do so). In another life (or perhaps one day), I would've definitely been a teacher.

πŸ‘©β€πŸ’» Anyway, this GitHub comprises of side projects & examples showcasing a few of my data science, bioinformatic, & general dev skills.

πŸ’¬ Don't hesitate to reach out to me if you have any questions, would like to discuss, or even collaborate on a cool project! I'm always open to new opportunities and connections.

Cheers!

Sandrine Soeharjono ✨

Sandrine Soeharjono's Projects

golang_exercises icon golang_exercises

The following contain exercises from the Coursera course "Programming with Google Go". These include 3 certificates: Getting Started with Go; Functions, Methods and Interfaces in Go; Concurrency in Go. The certificate is publicly available here: https://www.coursera.org/account/accomplishments/specialization/C9R9MB6YQHUR

ml_models icon ml_models

Use cases for Machine Learning (ML) models in Python

open_data icon open_data

Study assessing the factors contributing to or impeding high quality data sharing by researchers in ecology & evolution

rnaseq_analysis icon rnaseq_analysis

Bulk and single cell RNA-seq data analysis using open-source software and the R/bioconductor environment.

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