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.
Loghman Samani LoqmanSamani
Graduate in Computational Biology exploring deep learning, generative AI, and computational structural biology. Interested in research and PhD opportunities.
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University of Stuttgart
- Stuttgart, Germany
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23:05
(UTC +01:00) - https://loqmansamani.github.io
- https://medium.com/@samaniloqman91
- @Loqman_Samani
- in/loghman-samani-8a5208199
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physics_aware_diffusion
physics_aware_diffusion PublicAdaptive Fokker–Planck Regularization and Physics-Preserving Distillation for Efficient Energy-Based Diffusion Models
Jupyter Notebook 7
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deep-learning
deep-learning PublicDeep learning models built from scratch, including MLPs, CNNs, RNNs, LSTMs, Transformers, and GPT-2, with implementations of optimization and regularization techniques.
Jupyter Notebook 8
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