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sandrinesoeharjono/README.md

Welcome!

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

🔭 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.

🔍 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.

🔗 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.

👩‍💻 Anyway, this GitHub comprises of side projects & examples showcasing a few of my data science, bioinformatic, & general dev skills.

💬 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 ✨

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  1. shiny_applications shiny_applications Public

    Examples of applications created using the Shiny package in R

    R

  2. ebird_specialization ebird_specialization Public

    Analysis of Aviary Specialization Changes in the Montreal Metropolitan Community

    R

  3. open_data open_data Public

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

    HTML

  4. BIO6032/2021_replication_LipstichEtAl_1996 BIO6032/2021_replication_LipstichEtAl_1996 Public

    The population dynamics of vertical and horizontal transmission allow for the study of the evolution of virulence. Here, we replicate a model by Lipsitch et al. (1996) analyzing the trade-offs betw…

    Julia 1 1

  5. ml_models ml_models Public

    Use cases for Machine Learning (ML) models in Python

    Python

  6. rnaseq_analysis rnaseq_analysis Public

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

    Shell