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Anmol-Josan/README.md

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Hi 👋 I'm Anmol Singh Josan

Computational Biology Researcher | Software Engineer | V9 Rock Climber

Applying advanced machine learning and graph theory to solve complex biological and community challenges.


Research & Computational Biology

  • Spectral Graph Theory in Single-Cell Genomics: Developing an interactive framework and dashboard leveraging Laplacian embeddings, eigengap diagnostics, and heat diffusion to map single-cell RNA-seq and TCR-seq datasets, aiming to uncover biological consistency and clinical enrichment trends.
  • Oncology Machine Learning: Built multimodal machine learning models using Python and PyTorch to analyze large-scale genomic datasets (via frameworks like Scanpy), focusing on predicting chemo-immunotherapy response patterns in breast cancer patients. Awarded 1st Place at the State Science Fair.

Featured Engineering Projects

Simulation & AI

  • PCMTF-for-AUV: A Physics-Constrained Meta-Transformer Framework designed to track ocean plumes using AI and environmental science.
  • 3DConway: A three-dimensional implementation of Conway’s Game of Life, bringing classic cellular automata into a 3D world.
  • Neural-Network-Playground: An interactive web-based playground for visualizing neural network architectures and training behaviors.

Platforms & Community

  • 425 Tutoring: Leading operations and technology deployment as CEO for a regional peer tutoring organization.
  • EPSchedule / EPShareRides: Developing community-focused platforms to optimize high school campus scheduling and student carpooling logistics.
  • LightPollutionMap: A Jupyter Notebook and Python-driven project mapping the purity and quality of the night sky.

Algorithmic & Mathematical Foundations

  • USACO (Platinum): Highly optimized algorithmic solutions in C++, Java, and Python tackling advanced graph, data structure, and dynamic programming challenges.
  • Project Euler: Clean, mathematical Python implementations solving complex number-theoretic and combinatorial computer science puzzles.

Beyond the Code

When I'm not training neural networks, digging into genomic matrices, or optimizing campus platforms, you can find me on the rock wall pushing my physical limits. I approach both software engineering and climbing with the same exact mindset: break down an intimidating problem, find the optimal point of leverage, and execute precisely until you reach the top.

Pinned Loading

  1. Predicting-Chemo-immunotherapy-Response-in-Early-Stage-Hormone-Receptor-Positive-Breast-Cancer Predicting-Chemo-immunotherapy-Response-in-Early-Stage-Hormone-Receptor-Positive-Breast-Cancer Public

    Predicting nab-paclitaxel and pembrolizumab response in early-stage HR+ breast cancer using unsupervised ML and scRNA-seq to identify immune cell clusters and predictive transcriptomic biomarkers.

    Jupyter Notebook

  2. EastsidePreparatorySchool/epschedule EastsidePreparatorySchool/epschedule Public

    A schedule app for Eastside Preparatory School

    Python 19 17

  3. PCMTF-for-AUV PCMTF-for-AUV Public

    Physics-Constrained Meta-Transformer Framework for AUV Plume Tracking in Turbulent Ocean Environments

    Jupyter Notebook

  4. Independent-Study---Graph-Theory Independent-Study---Graph-Theory Public

    Interactive spectral graph theory dashboard for single-cell RNA-seq analysis, featuring Laplacian embeddings, eigengap diagnostics, and cluster-level heat diffusion to analyze clinical response pat…

    Python

  5. Neural-Network-Playground Neural-Network-Playground Public

    TypeScript

  6. EPSpaces/EPShareRides EPSpaces/EPShareRides Public

    A place for students to connect on carpools for events.

    EJS 1