Skip to content
View iamspriyadarshi's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report iamspriyadarshi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
iamspriyadarshi/README.md

Hi 👋, I'm Shreyansh Priyadarshi

Doctoral Researcher • Machine Learning • Computational Biology • Multi-Omics

📍 School of Biological Sciences, University of Southampton


👨‍🔬 About Me

I am a Doctoral Researcher at the University of Southampton, working at the intersection of machine learning, gene regulatory networks (GRNs), multi-omics integration, and cellular reprogramming.

I completed my:

  • 🎓 Bachelor's Degree (Biology major, Computer Science minor) at Ashoka University (2021-2024)
  • 🎓 Postgraduate Diploma in Research with a Computer Science thesis and Chemistry concentration at Ashoka University (2024-2025)

My research focuses on developing computational frameworks to understand the regulatory mechanisms that drive cell fate decisions and cellular identity. By integrating diverse high-throughput datasets—including transcriptomic, epigenomic, chromatin contact map, and chromatin accessibility data—I aim to uncover the molecular dynamics underlying cellular reprogramming and development.

🔬 Research Interests

  • Gene Regulatory Networks (GRNs)
  • Single-Cell Multi-Omics
  • Cellular Reprogramming
  • Machine Learning
  • Computational Biology
  • Regulatory Dynamics & Cell Fate Decisions

📫 Contact

📧 shreyansh.priyadarshi02@gmail.com
📧 Shreyansh.Priyadarshi@soton.ac.uk


🌐 Connect With Me

Twitter LinkedIn

Pinned Loading

  1. SML-CompBio/OncoMark SML-CompBio/OncoMark Public

    A deep learning tool designed to predict Cancer Hallmark activities from tumor biopsy samples.

    Jupyter Notebook 3

  2. SML-CompBio/ACSCEND SML-CompBio/ACSCEND Public

    Comprehensive Enumeration of Cancer Stem-like Cell Heterogeneity Using Deep Neural Network

    Jupyter Notebook 1

  3. SML-CompBio/KINDLIN-PANCAN SML-CompBio/KINDLIN-PANCAN Public

    The repository contains the source code used in the paper: "Pancancer Analyses Suggest Kindlin-associated Global Mechanochemical Perturbation"

    Jupyter Notebook