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sanketsriv22/README.md

Hello

I’m an Applied Mathematics and Bioinformatics graduate student at Northeastern University in Boston, MA. I'm deeply passionate about the intersection of deep learning, bioinformatics, statistics, and optimization. I enjoy applying advanced computational techniques to decipher the life sciences, and more. Some interests I have are exploring innovative algorithms for genomic analysis, optimizing models for drug discovery, and advancing personalized medicine through AI.

Currently, I'm working on projects involving LLM's, Optimization, Mathematical and Statistical Modeling, and Deep Learning Algorithms

My graduate coursework at Northeastern University to date includes:

  • Machine Learning and Statistical Learning Theory
  • Algorithms for Optimization
  • Statistics in Bioinformatics
  • Algorithms
  • Probability and Statistics
  • Computational Methods in Bioinformatics
  • Bioinformatics Programming
  • Differential Equations
  • Linear Algebra

Technical Skills

Pinned Loading

  1. qquella/Brain-CT-image-hemorrhage-segmentation-XN-Project qquella/Brain-CT-image-hemorrhage-segmentation-XN-Project Public

    The Zeta Surgical company was started by a team of Harvard graduates and academics. The mission is to democratize the access to accurate, safe and fast image-guidance, to unlock the use of image gu…

    Jupyter Notebook 3 1

  2. Black-Scholes Black-Scholes Public

    Black-Scholes Option Pricing Model, with Neural Network fitting

    Python

  3. Cross-Entropy-Method Cross-Entropy-Method Public

    Minimizing the ackley function (highly non convex) using the Cross-Entropy Method

    MATLAB

  4. PubMed-Data-Analysis-Tool PubMed-Data-Analysis-Tool Public

    Chatbot with api which locates and downloads science articles based on user query and allows analysis of them