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siranguru/README.md

Siranjeevi Gurumani

About Me

Hello, I'm Siranjeevi Gurumani, a dedicated computational biologist with a specialization in integrating biological insights and computational methodologies to enhance drug discovery and development. My core expertise includes mathematical modeling, systems biology, and pharmacokinetics/pharmacodynamics (PK/PD) modeling. I thrive at the intersection of mathematics, biology, and computer science, creating innovative solutions to advance biomedical research.


Experience

MetFlux Research

Decision Scientist

  • Whole-body energy balance model (KD Hall Model)
  • Glucose-Insulin Simbiology model
  • Liver Metabolism model
  • N-Compartmental PK model

Indian Institute of Technology, Delhi

Master of Science by research - MS(r), Biology/Biological Sciences

  • Mathematical modeling of TNFα induced TNFR1 mediated IKK and NF-κB response: TRIN model.
  • Symbolic modelling of Dimensionality reduced TNF induced NF-κB pathway.
  • Yeast (Saccharomyces cerevisiae) Process control model: Sonnleitner model.

Skills

  • Programming Languages: Matlab, Python, Julia, R programming
  • Communicating Languages: English, Tamil, Telugu, Hindi

Links


Pinned Loading

  1. kaggle_feature_engineering kaggle_feature_engineering Public

    Feature Engineering - Mutual Information, K-means, PCA, Target Encoding -- Better features make better models. Discover how to get the most out of your data.

    Jupyter Notebook

  2. Learning_NNFS Learning_NNFS Public

    Learning Neural network from scratch (The codes are derived when learning from Vizuara AI Labs)

    Jupyter Notebook

  3. Matlab_parameter_optimization_SIR_model Matlab_parameter_optimization_SIR_model Public

    The MATLAB live script file ".mlx" contains the file for executing different optimizer functions available to estimate the parameters of the SIR model (epidemiology model)

    MATLAB

  4. Kaggle_Computer_Vision Kaggle_Computer_Vision Public

    Building convolutional neural networks with TensorFlow and Keras.

    Jupyter Notebook

  5. 5-day-Gen-AI-intensive-kaggle-google-course 5-day-Gen-AI-intensive-kaggle-google-course Public

    the Kaggle 5-day Generative AI course --- Nov 11th to Nov15th

    Jupyter Notebook

  6. Learning_Julia-Intro-to-Julia-exercise-answers Learning_Julia-Intro-to-Julia-exercise-answers Public

    From https://juliaacademy.com/courses/ -- Introduction to Julia (For programmers) exercise sheets -- Exercise questions from https://github.com/JuliaAcademy/Introduction-to-Julia

    Jupyter Notebook