Shailesh Lal Email & Phone Number

I am a string theorist working on the cutting edge of theoretical physics at some of the top institutes in the world, presently carrying out research in machine learning and bayesian neural networks. After a decade in academia, I am eager to solve real-world problems by developing cutting edge machine learning solutions with my expertise in Data Science. I have published 24 papers in leading journals, given 41 talks and led teams across 4 continents.Areas : Machine Learning and Neural Networks, Few-Shot Learning, Computer Vision, ConvNets, Sequence Models, NLPLanguages, Frameworks : Python, Keras, Tensorflow, Scikit-Learn, NLTK, Spacy

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  Visiting Research Scientist

  International Centre For Theoretical Sciences

  Mar 2022 - Present

  Designed and taught 'Machine Learning and Neural Networks' to graduate students and postdoctoral fellows. The course includes:1. Linear and Logistic Regression; Generalized Linear Models2. Neural Networks: Perceptrons, MLPs, Back-Propagation3. Best Practices: Initialization, choice of activation functions, batch normalization, dropout4. Convolutional Networks: Filters, convolutions, pooling, convnets, fully convolutional networksIn addition, we also discussed elements ofa. Statistical Learningb. Optimizationc. Bayesian Regression