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LoqmanSamani/README.md

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I have a Master of Science in Computational Biology and am passionate about the intersection of deep learning and structural biology. My current focus is on exploring diffusion models and physics-aware approaches to design, predict, and better understand proteins. I’m actively seeking PhD and research opportunities in computational structural biology, where I can contribute to advancing methods for protein modeling. Beyond research, I’m always excited about building things, experimenting with new ideas, and learning how AI can help us uncover the mysteries of life.

📊 GitHub Stats & Streaks



LoqmanSamani streak

🛠️ My Tech Stack

My Skills

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  1. TorchDiff TorchDiff Public

    A PyTorch-based library for diffusion models

    Python 16 1

  2. CppNet CppNet Public

    A high-performance C++ deep learning library for building and training neural networks

    C++ 3

  3. grn-designer grn-designer Public

    Optimizing Gene Regulatory Networks (GRNs) for spatial pattern formation using evolutionary and gradient-based methods with heterogeneous initial conditions.

    Jupyter Notebook 4 1

  4. smartsolve smartsolve Public

    A python machine learning library

    Python 11 2

  5. biostoch biostoch Public

    A Python library for simulating biological and chemical systems using deterministic and stochastic methods, including Euler’s method, Runge-Kutta, SSA, Tau-Leaping, and CLE.

    Jupyter Notebook 4

  6. deep-learning deep-learning Public

    Deep learning models built from scratch, including MLPs, CNNs, RNNs, LSTMs, Transformers, and GPT-2, with implementations of optimization and regularization techniques.

    Jupyter Notebook 4